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Erschienen in: Artificial Intelligence Review 4/2019

03.01.2018

Character and numeral recognition for non-Indic and Indic scripts: a survey

verfasst von: Munish Kumar, M. K. Jindal, R. K. Sharma, Simpel Rani Jindal

Erschienen in: Artificial Intelligence Review | Ausgabe 4/2019

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Abstract

A collection of different scripts is employed in writing languages throughout the world. Character and numeral recognition of a particular script is a key area in the field of pattern recognition. In this paper, we have presented a comprehensive survey on character and numeral recognition of non-Indic and Indic scripts. Many researchers have done work on character and numeral recognition from the most recent couple of years. In perspective of this, few strategies for character/numeral have been developed so far. There are an immense number of frameworks available for printed and handwritten character recognition for non-Indic scripts. But, only a limited number of systems are offered for character/numeral recognition of Indic scripts. However, few endeavors have been made on the recognition of Bangla, Devanagari, Gurmukhi, Kannada, Oriya and Tamil scripts. In this paper, we have additionally examined major challenges/issues for character/numeral recognition. The efforts in two directions (non-Indic and Indic scripts) are reflected in this paper. When compared with non-Indic scripts, the research on character recognition of Indic scripts has not achieved that perfection yet. The techniques used for recognition of non-Indic scripts may be used for recognition of Indic scripts (printed/handwritten text) and vice versa to improve the recognition rates. It is also noticed that the research in this field is quietly thin and still more research is to be done, particularly in the case of handwritten Indic scripts documents.

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Literatur
Zurück zum Zitat Abd MA, Paschos G (2007) Effective Arabic character recognition using support vector machines. Innov Adv Tech Comput Inf Sci Eng 7–11 Abd MA, Paschos G (2007) Effective Arabic character recognition using support vector machines. Innov Adv Tech Comput Inf Sci Eng 7–11
Zurück zum Zitat Acharya D, Reddy NVS, Makkithaya K (2008) Multilevel classifiers in recognition of handwritten Kannada numerals. Proc World Acad Sci Eng Technol (WASET) 18:274–279 Acharya D, Reddy NVS, Makkithaya K (2008) Multilevel classifiers in recognition of handwritten Kannada numerals. Proc World Acad Sci Eng Technol (WASET) 18:274–279
Zurück zum Zitat Afroge S, Ahmed B, Mahmud F (2016) Optical character recognition using back propagation neural network. In: Proceedings of the 2nd international conference on electrical, computer and telecommunication engineering (ICECTE), pp 1–4 Afroge S, Ahmed B, Mahmud F (2016) Optical character recognition using back propagation neural network. In: Proceedings of the 2nd international conference on electrical, computer and telecommunication engineering (ICECTE), pp 1–4
Zurück zum Zitat Ajmire PE, Warkhede SE (2010) Handwritten Marathi character (vowel) recognition. Adv Inf Min 2(2):11–13 Ajmire PE, Warkhede SE (2010) Handwritten Marathi character (vowel) recognition. Adv Inf Min 2(2):11–13
Zurück zum Zitat Alaei A, Pal U, Nagabhushan P (2009) Using modified contour features and SVM based classifier for the recognition of Persian/Arabic handwritten numerals. In: Proceedings of the 7th international conference on advances in pattern recognition (ICAPR), pp 391–394 Alaei A, Pal U, Nagabhushan P (2009) Using modified contour features and SVM based classifier for the recognition of Persian/Arabic handwritten numerals. In: Proceedings of the 7th international conference on advances in pattern recognition (ICAPR), pp 391–394
Zurück zum Zitat Alaei A, Nagabhushan P, Pal U (2010a) A baseline dependent approach for Persian handwritten character segmentation. In: Proceedings of the 20th international conference on pattern recognition (ICPR), pp 1977–1980 Alaei A, Nagabhushan P, Pal U (2010a) A baseline dependent approach for Persian handwritten character segmentation. In: Proceedings of the 20th international conference on pattern recognition (ICPR), pp 1977–1980
Zurück zum Zitat Alaei A, Nagabhushan P, Pal U (2010b) A new two-stage scheme for the recognition of Persian handwritten characters. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 130–135 Alaei A, Nagabhushan P, Pal U (2010b) A new two-stage scheme for the recognition of Persian handwritten characters. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 130–135
Zurück zum Zitat Almuallim H, Yamaguchi S (1987) A method of recognition of Arabic cursive handwriting. IEEE Trans Pattern Anal Mach Intell 9(5):715–722CrossRef Almuallim H, Yamaguchi S (1987) A method of recognition of Arabic cursive handwriting. IEEE Trans Pattern Anal Mach Intell 9(5):715–722CrossRef
Zurück zum Zitat Althobaiti H, Lu C (2017) A survey on Arabic optical character recognition and an isolated handwritten Arabic character recognition algorithm using encoded freeman chain code. In: Proceedings of the 51st annual conference on information sciences and systems Althobaiti H, Lu C (2017) A survey on Arabic optical character recognition and an isolated handwritten Arabic character recognition algorithm using encoded freeman chain code. In: Proceedings of the 51st annual conference on information sciences and systems
Zurück zum Zitat Antani S, Agnihotri L (1999) Gujarati character recognition. In: Proceedings of the 5th international conference on document analysis and recognition (ICDAR), pp 418–421 Antani S, Agnihotri L (1999) Gujarati character recognition. In: Proceedings of the 5th international conference on document analysis and recognition (ICDAR), pp 418–421
Zurück zum Zitat Aparna KH, Subramanian V, Kasirajan M, Prakash GV, Chakravarthy VS, Madhvanath S (2004) Online handwriting recognition for Tamil. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 438–443 Aparna KH, Subramanian V, Kasirajan M, Prakash GV, Chakravarthy VS, Madhvanath S (2004) Online handwriting recognition for Tamil. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 438–443
Zurück zum Zitat Ardeshana M, Sharma AK, Adhyaru DM, Zaveri TH (2016) Handwritten Gujarati character recognition based on discrete cosine transform. In: Proceedings of the IRF-IEEE forum international conference, pp 23–26 Ardeshana M, Sharma AK, Adhyaru DM, Zaveri TH (2016) Handwritten Gujarati character recognition based on discrete cosine transform. In: Proceedings of the IRF-IEEE forum international conference, pp 23–26
Zurück zum Zitat Arora A, Namboodiri AM (2010) A hybrid model for recognition of online handwriting in Indian scripts. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 433–438 Arora A, Namboodiri AM (2010) A hybrid model for recognition of online handwriting in Indian scripts. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 433–438
Zurück zum Zitat Asavareongchai N, Giarta E (2016) Recognition of Thai characters and text from document templates. Project report, pp 1–7 Asavareongchai N, Giarta E (2016) Recognition of Thai characters and text from document templates. Project report, pp 1–7
Zurück zum Zitat Ashwin TV, Sastry PS (2002) A font and size-independent OCR system for printed Kannada documents using support vector machines. SADHANA 27(1):35–58CrossRef Ashwin TV, Sastry PS (2002) A font and size-independent OCR system for printed Kannada documents using support vector machines. SADHANA 27(1):35–58CrossRef
Zurück zum Zitat Baiju KB, Sabeerath K (2016) Online recognition of Malayalam handwritten scripts—a comparison using KNN, MLP and SVM. In: Proceedings of the international conference on advances in computing, communications and informatics, pp 2078–2083 Baiju KB, Sabeerath K (2016) Online recognition of Malayalam handwritten scripts—a comparison using KNN, MLP and SVM. In: Proceedings of the international conference on advances in computing, communications and informatics, pp 2078–2083
Zurück zum Zitat Bajaj R, Dey L, Chaudhury S (2002) Devanagari numeral recognition by combining decision of multiple connectionist classifiers. SADHANA 27(1):59–72CrossRef Bajaj R, Dey L, Chaudhury S (2002) Devanagari numeral recognition by combining decision of multiple connectionist classifiers. SADHANA 27(1):59–72CrossRef
Zurück zum Zitat Bansal V, Sinha RMK (2000) Integrating knowledge sources in Devanagari text recognition system. IEEE Trans Syst Man Cybern Part A 30(4):500–505CrossRef Bansal V, Sinha RMK (2000) Integrating knowledge sources in Devanagari text recognition system. IEEE Trans Syst Man Cybern Part A 30(4):500–505CrossRef
Zurück zum Zitat Belhe S, Paulzagade C, Deshmukh A, Jetley S, Mehrotra K (2012) Hindi handwritten word recognition using HMM and symbol tree. In: Proceedings of the workshop on document analysis and recognition (DAR), pp 9–14 Belhe S, Paulzagade C, Deshmukh A, Jetley S, Mehrotra K (2012) Hindi handwritten word recognition using HMM and symbol tree. In: Proceedings of the workshop on document analysis and recognition (DAR), pp 9–14
Zurück zum Zitat Bharath A, Madhvanath S (2011) HMM-based lexicon-driven and lexicon-free word recognition for online handwritten Indic scripts. IEEE Trans Pattern Anal Mach Intell (PAMI) 34(4):670–682CrossRef Bharath A, Madhvanath S (2011) HMM-based lexicon-driven and lexicon-free word recognition for online handwritten Indic scripts. IEEE Trans Pattern Anal Mach Intell (PAMI) 34(4):670–682CrossRef
Zurück zum Zitat Bhattacharya U, Chaudhuri BB (2003) A majority voting scheme for multi-resolution recognition of handprinted numerals. In: Proceedings of the 7th international conference on document analysis and recognition (ICDAR), pp 16–20 Bhattacharya U, Chaudhuri BB (2003) A majority voting scheme for multi-resolution recognition of handprinted numerals. In: Proceedings of the 7th international conference on document analysis and recognition (ICDAR), pp 16–20
Zurück zum Zitat Bhattacharya U, Vajda S, Mallick A, Chaudhuri BB, Belaid A (2004) On the choice of training set, architecture and combination rule of multiple MLP classifiers for multi-resolution recognition of handwritten characters. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 419–424 Bhattacharya U, Vajda S, Mallick A, Chaudhuri BB, Belaid A (2004) On the choice of training set, architecture and combination rule of multiple MLP classifiers for multi-resolution recognition of handwritten characters. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 419–424
Zurück zum Zitat Bhattacharya U, Shridhar M, Parui SK (2006) On recognition of handwritten Bangla characters. In: Proceedings of the international conference on computer vision, graphics and image processing (ICVGIP), pp 817–828 Bhattacharya U, Shridhar M, Parui SK (2006) On recognition of handwritten Bangla characters. In: Proceedings of the international conference on computer vision, graphics and image processing (ICVGIP), pp 817–828
Zurück zum Zitat Bhattacharya U, Gupta BK, Parui SK (2007) Direction code based features for recognition of online handwritten characters of Bangla. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 1, pp 58–62 Bhattacharya U, Gupta BK, Parui SK (2007) Direction code based features for recognition of online handwritten characters of Bangla. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 1, pp 58–62
Zurück zum Zitat Bhoi S, Dogra DP, Roy PP (2015) Handwritten text recognition in Odia script using hidden Markov model. In: Proceedings of the 5th national conference on computer vision, pattern recognition, image processing and graphics, pp 1–3 Bhoi S, Dogra DP, Roy PP (2015) Handwritten text recognition in Odia script using hidden Markov model. In: Proceedings of the 5th national conference on computer vision, pattern recognition, image processing and graphics, pp 1–3
Zurück zum Zitat Bhowmik TK, Parui SK, Bhattacharya U, Shaw B (2006) An HMM based recognition scheme for handwritten Oriya numerals. In: Proceedings of the 9th international conference on information technology (ICIT), pp 105–110 Bhowmik TK, Parui SK, Bhattacharya U, Shaw B (2006) An HMM based recognition scheme for handwritten Oriya numerals. In: Proceedings of the 9th international conference on information technology (ICIT), pp 105–110
Zurück zum Zitat Bishnu A, Chaudhuri BB (1999) Segmentation of Bangla handwritten text into characters by recursive contour following. In: Proceedings of the 5th international conference on document analysis and recognition (ICDAR), pp 402–405 Bishnu A, Chaudhuri BB (1999) Segmentation of Bangla handwritten text into characters by recursive contour following. In: Proceedings of the 5th international conference on document analysis and recognition (ICDAR), pp 402–405
Zurück zum Zitat Bluche T, Messina R (2016) Faster segmentation-free handwritten Chinese text recognition with character decompositions. In: Proceedings of the 15th international conference on frontiers in handwriting recognition, pp 530–535 Bluche T, Messina R (2016) Faster segmentation-free handwritten Chinese text recognition with character decompositions. In: Proceedings of the 15th international conference on frontiers in handwriting recognition, pp 530–535
Zurück zum Zitat Borovikov E (2004) A survey of modern optical character recognition techniques. Project report, pp 1–38 Borovikov E (2004) A survey of modern optical character recognition techniques. Project report, pp 1–38
Zurück zum Zitat Bunke H, Varga T (2007) Off-line Roman cursive handwriting recognition. Adv Pattern Recognit 165–183 Bunke H, Varga T (2007) Off-line Roman cursive handwriting recognition. Adv Pattern Recognit 165–183
Zurück zum Zitat Chanda S, Pal U, Kimura F (2007a) Identification of Japanese and English script from a single document page. In: Proceedings of the 7th IEEE international conference on computer and information technology, pp 656–661 Chanda S, Pal U, Kimura F (2007a) Identification of Japanese and English script from a single document page. In: Proceedings of the 7th IEEE international conference on computer and information technology, pp 656–661
Zurück zum Zitat Chanda S, Terrades OR, Pal U (2007b) SVM based scheme for Thai and English script identification. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 1, pp 551–555 Chanda S, Terrades OR, Pal U (2007b) SVM based scheme for Thai and English script identification. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 1, pp 551–555
Zurück zum Zitat Chanda S, Pal S, Franke K, Pal U (2009) Two-stage approach for word-wise script identification. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 926–930 Chanda S, Pal S, Franke K, Pal U (2009) Two-stage approach for word-wise script identification. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 926–930
Zurück zum Zitat Chaudhary S, Sharma S, Kumar B (2015) Recognition of printed Oriya script using gradient based features. In: Proceedings of the 2015 annual IEEE India conference, pp 1–5 Chaudhary S, Sharma S, Kumar B (2015) Recognition of printed Oriya script using gradient based features. In: Proceedings of the 2015 annual IEEE India conference, pp 1–5
Zurück zum Zitat Das S, Banerjee S (2015) An algorithm for Japanese character recognition. Int J Image Gr Signal Process 1:9–15 Das S, Banerjee S (2015) An algorithm for Japanese character recognition. Int J Image Gr Signal Process 1:9–15
Zurück zum Zitat Deepu V, Madhvanath S, Ramakrishnan AG (2004) Principal component analysis for online handwritten character recognition. In: Proceedings of the 17th international conference on pattern recognition (ICPR), vol 2, pp 327–330 Deepu V, Madhvanath S, Ramakrishnan AG (2004) Principal component analysis for online handwritten character recognition. In: Proceedings of the 17th international conference on pattern recognition (ICPR), vol 2, pp 327–330
Zurück zum Zitat Desai AA (2010) Gujarati handwritten numeral optical character reorganization through neural network. Pattern Recognit 43(7):2582–2589MATHCrossRef Desai AA (2010) Gujarati handwritten numeral optical character reorganization through neural network. Pattern Recognit 43(7):2582–2589MATHCrossRef
Zurück zum Zitat Dholakia J, Yajnik A, Negi A (2007) Wavelet feature based confusion character sets for Gujarati script. In: Proceedings of the international conference on computational intelligence and multimedia applications (CIMA), pp 366–370 Dholakia J, Yajnik A, Negi A (2007) Wavelet feature based confusion character sets for Gujarati script. In: Proceedings of the international conference on computational intelligence and multimedia applications (CIMA), pp 366–370
Zurück zum Zitat Dutta A, Chaudhury S (1993) Bengali alpha-numeric character recognition using curvature features. Pattern Recognit 26(12):1757–1770CrossRef Dutta A, Chaudhury S (1993) Bengali alpha-numeric character recognition using curvature features. Pattern Recognit 26(12):1757–1770CrossRef
Zurück zum Zitat Elakkiya V, Muthumani I, Jegajothi M (2017) Tamil text recognition using KNN classifier. Adv Nat Appl Sci 11(7):41–45 Elakkiya V, Muthumani I, Jegajothi M (2017) Tamil text recognition using KNN classifier. Adv Nat Appl Sci 11(7):41–45
Zurück zum Zitat Garg NK, Kaur L, Jindal MK (2010) A new method for line segmentation of handwritten Hindi text. In: Proceedings of the 7th international conference on information technology: new generations (ITNG), pp 392–397 Garg NK, Kaur L, Jindal MK (2010) A new method for line segmentation of handwritten Hindi text. In: Proceedings of the 7th international conference on information technology: new generations (ITNG), pp 392–397
Zurück zum Zitat Garain U, Chaudhuri BB, Pal TT (2002) Online handwritten Indian script recognition: a human motor function based framework. In: Proceedings of the 16th international conference on pattern recognition (ICPR), vol 3, pp 164–167 Garain U, Chaudhuri BB, Pal TT (2002) Online handwritten Indian script recognition: a human motor function based framework. In: Proceedings of the 16th international conference on pattern recognition (ICPR), vol 3, pp 164–167
Zurück zum Zitat Gohell CC, Goswam MM, Prajapate YK (2015) On-line Handwritten Gujarati character recognition using low level stroke. In: Proceedings of the third international conference on image information processing, pp 130–134 Gohell CC, Goswam MM, Prajapate YK (2015) On-line Handwritten Gujarati character recognition using low level stroke. In: Proceedings of the third international conference on image information processing, pp 130–134
Zurück zum Zitat Grosicki E, Abed H (2009) Handwriting recognition competition. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 1398–1402 Grosicki E, Abed H (2009) Handwriting recognition competition. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 1398–1402
Zurück zum Zitat Hanmandlu M, Murthy OVR, Madasu VK (2007) Fuzzy model based recognition of handwritten Hindi characters. In: Proceedings of the 9th biennial conference of the Australian pattern recognition society on digital image computing and techniques and applications, pp 454–461 Hanmandlu M, Murthy OVR, Madasu VK (2007) Fuzzy model based recognition of handwritten Hindi characters. In: Proceedings of the 9th biennial conference of the Australian pattern recognition society on digital image computing and techniques and applications, pp 454–461
Zurück zum Zitat He S, Hu X (2016) Chinese character recognition in natural scenes. In: Proceedings of the 9th international symposium on computational intelligence and design, pp 124–127 He S, Hu X (2016) Chinese character recognition in natural scenes. In: Proceedings of the 9th international symposium on computational intelligence and design, pp 124–127
Zurück zum Zitat Hussain R, Raza A, Siddiqi I, Khurshid K, Djeddi C (2015) A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation. EURASIP J Image Video Process 46:1–24 Hussain R, Raza A, Siddiqi I, Khurshid K, Djeddi C (2015) A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation. EURASIP J Image Video Process 46:1–24
Zurück zum Zitat Impedovo S, Dimauro G (1990) An interactive system for the selection of handwritten numeral classes. In: Proceedings of the 10th international conference on pattern recognition (ICPR), pp 563–566 Impedovo S, Dimauro G (1990) An interactive system for the selection of handwritten numeral classes. In: Proceedings of the 10th international conference on pattern recognition (ICPR), pp 563–566
Zurück zum Zitat Izadi S, Sadri J, Solimanpour F, Suen CY (2006) A review on Persian script and recognition techniques. In: Proceedings of the conference on Arabic and Chinese handwriting, pp 22–35 Izadi S, Sadri J, Solimanpour F, Suen CY (2006) A review on Persian script and recognition techniques. In: Proceedings of the conference on Arabic and Chinese handwriting, pp 22–35
Zurück zum Zitat Janani G, Vishalini V, Kumar PM (2016) Recognition and analysis of Tamil inscriptions and mapping using image processing techniques. In: Second international conference on science technology engineering and management, pp 181–184 Janani G, Vishalini V, Kumar PM (2016) Recognition and analysis of Tamil inscriptions and mapping using image processing techniques. In: Second international conference on science technology engineering and management, pp 181–184
Zurück zum Zitat Jayadevan R, Pal U, Kimura F (2010) Recognition of words from legal amounts of Indian bank cheques. In: Proceedings of the international conference on frontiers in handwriting recognition (ICFHR), pp 166–171 Jayadevan R, Pal U, Kimura F (2010) Recognition of words from legal amounts of Indian bank cheques. In: Proceedings of the international conference on frontiers in handwriting recognition (ICFHR), pp 166–171
Zurück zum Zitat Jindal MK, Lehal GS, Sharma RK (2005) Segmentation problems and solutions in printed degraded Gurmukhi script. Int J Signal Process 2(4):258–267 Jindal MK, Lehal GS, Sharma RK (2005) Segmentation problems and solutions in printed degraded Gurmukhi script. Int J Signal Process 2(4):258–267
Zurück zum Zitat Jindal MK, Sharma RK, Lehal GS (2007) Segmentation of horizontally overlapping lines in printed Indian scripts. Int J Comput Intell Res 3(4):277–286CrossRef Jindal MK, Sharma RK, Lehal GS (2007) Segmentation of horizontally overlapping lines in printed Indian scripts. Int J Comput Intell Res 3(4):277–286CrossRef
Zurück zum Zitat John R, Raju G, Guru DS (2007) 1D wavelet transform of projection profiles for isolated handwritten Malayalam character recognition. Proceedings of the international conference on computational intelligence and multimedia applications (ICCIMA) 2:481–485 John R, Raju G, Guru DS (2007) 1D wavelet transform of projection profiles for isolated handwritten Malayalam character recognition. Proceedings of the international conference on computational intelligence and multimedia applications (ICCIMA) 2:481–485
Zurück zum Zitat Joshi N, Sita G, Ramakrishnan AG, Madhvanath S (2004) Tamil handwriting recognition using subspace and DTW based classifiers. In: Proceedings of the international conference on neural information processing (ICONIP), pp 806–813 Joshi N, Sita G, Ramakrishnan AG, Madhvanath S (2004) Tamil handwriting recognition using subspace and DTW based classifiers. In: Proceedings of the international conference on neural information processing (ICONIP), pp 806–813
Zurück zum Zitat Joshi N, Sita G, Ramakrishnan AG, Deepu V, Madhvanath S (2005) Machine recognition of online handwritten Devanagari characters. In: Proceedings of the 8th international conference on document analysis and recognition (ICDAR), vol 2, pp 1156–1160 Joshi N, Sita G, Ramakrishnan AG, Deepu V, Madhvanath S (2005) Machine recognition of online handwritten Devanagari characters. In: Proceedings of the 8th international conference on document analysis and recognition (ICDAR), vol 2, pp 1156–1160
Zurück zum Zitat Jyothi J, Manjusha K, Kumar MA, Soman KP (2015) Innovative feature sets for machine learning based Telugu character recognition. Indian J Sci Technol 8(24):1–7CrossRef Jyothi J, Manjusha K, Kumar MA, Soman KP (2015) Innovative feature sets for machine learning based Telugu character recognition. Indian J Sci Technol 8(24):1–7CrossRef
Zurück zum Zitat Kacem A, Aouiti N, Belaid A (2012) Structural features extraction for handwritten Arabic personal names recognition. In: Proceedings of the international conference on frontiers in handwriting recognition (ICFHR), pp 268–273 Kacem A, Aouiti N, Belaid A (2012) Structural features extraction for handwritten Arabic personal names recognition. In: Proceedings of the international conference on frontiers in handwriting recognition (ICFHR), pp 268–273
Zurück zum Zitat Karnchanapusakij C, Suwannakat P, Rakprasertsuk W, Dejdumrong N (2009) Online handwriting Thai character recognition. In: Proceedings of the 6th international conference on computer graphics, imaging and visualization (CGIV), pp 323–328 Karnchanapusakij C, Suwannakat P, Rakprasertsuk W, Dejdumrong N (2009) Online handwriting Thai character recognition. In: Proceedings of the 6th international conference on computer graphics, imaging and visualization (CGIV), pp 323–328
Zurück zum Zitat Karthik S, Srikanta MK (2016) Segmentation and recognition of handwritten Kannada text using relevance feedback and histogram of oriented gradients: a novel approach. Int J Adv Comput Sci Appl 7(1):472–476 Karthik S, Srikanta MK (2016) Segmentation and recognition of handwritten Kannada text using relevance feedback and histogram of oriented gradients: a novel approach. Int J Adv Comput Sci Appl 7(1):472–476
Zurück zum Zitat Kinjarapu AA, Yelavarti KC, Valurouthu KP (2016) Online recognition of handwritten Telugu script characters. In: Proceedings of the international conference on signal processing, communication, power and embedded system, pp 426–432 Kinjarapu AA, Yelavarti KC, Valurouthu KP (2016) Online recognition of handwritten Telugu script characters. In: Proceedings of the international conference on signal processing, communication, power and embedded system, pp 426–432
Zurück zum Zitat Kobchaisawat T, Chalidabhongse T (2015) A method for multi-oriented Thai text localization in natural scene images using convolutional neural network. In: Proceedings of the international conference on signal and image processing applications, pp 220–225 Kobchaisawat T, Chalidabhongse T (2015) A method for multi-oriented Thai text localization in natural scene images using convolutional neural network. In: Proceedings of the international conference on signal and image processing applications, pp 220–225
Zurück zum Zitat Kumar D (2008) AI approach to hand written Devanagri script recognition. In: Proceedings of the IEEE region 10th international conference on EC3-energy, computer, communication and control systems vol 2, pp 229–237 Kumar D (2008) AI approach to hand written Devanagri script recognition. In: Proceedings of the IEEE region 10th international conference on EC3-energy, computer, communication and control systems vol 2, pp 229–237
Zurück zum Zitat Kumar M, Jindal MK, Sharma RK (2011a) Review on OCR for handwritten Indian scripts character recognition. In: Proceedings of the first international conference on digital image processing and pattern recognition (DPPR), Tirunelveli, Tamil Nadu, vol 205, pp 268–276 Kumar M, Jindal MK, Sharma RK (2011a) Review on OCR for handwritten Indian scripts character recognition. In: Proceedings of the first international conference on digital image processing and pattern recognition (DPPR), Tirunelveli, Tamil Nadu, vol 205, pp 268–276
Zurück zum Zitat Kumar M, Jindal MK, Sharma RK (2011b) $k$-Nearest neighbor based offline handwritten Gurmukhi character recognition. In: Proceedings of the international conference on image information processing (ICIIP), Jaypee University of Information Technology, Waknaghat (Shimla), pp 1–4 Kumar M, Jindal MK, Sharma RK (2011b) $k$-Nearest neighbor based offline handwritten Gurmukhi character recognition. In: Proceedings of the international conference on image information processing (ICIIP), Jaypee University of Information Technology, Waknaghat (Shimla), pp 1–4
Zurück zum Zitat Kumar M, Sharma RK, Jindal MK (2011c) Classification of characters and grading writers in offline handwritten Gurmukhi script. In: Proceedings of the international conference on image information processing (ICIIP), Jaypee University of Information Technology, Waknaghat (Shimla), pp 1–4 Kumar M, Sharma RK, Jindal MK (2011c) Classification of characters and grading writers in offline handwritten Gurmukhi script. In: Proceedings of the international conference on image information processing (ICIIP), Jaypee University of Information Technology, Waknaghat (Shimla), pp 1–4
Zurück zum Zitat Kumar M, Sharma RK, Jindal MK (2011d) SVM based offline handwritten Gurmukhi character recognition. In: Proceedings of the international workshop on soft computing applications and knowledge discovery (SCAKD), National Research University Higher School of Economics, Moscow (Russia), pp 51–62 Kumar M, Sharma RK, Jindal MK (2011d) SVM based offline handwritten Gurmukhi character recognition. In: Proceedings of the international workshop on soft computing applications and knowledge discovery (SCAKD), National Research University Higher School of Economics, Moscow (Russia), pp 51–62
Zurück zum Zitat Kumar M, Jindal MK, Sharma RK (2012) Offline handwritten Gurmukhi character recognition: study of different features and classifiers combinations. In: Proceedings of the workshop on document analysis and recognition (IWDAR), IIT Bombay, pp 94–99 Kumar M, Jindal MK, Sharma RK (2012) Offline handwritten Gurmukhi character recognition: study of different features and classifiers combinations. In: Proceedings of the workshop on document analysis and recognition (IWDAR), IIT Bombay, pp 94–99
Zurück zum Zitat Kumar M, Sharma RK, Jindal MK (2013a) A novel feature extraction technique for offline handwritten Gurmukhi character recognition. IETE J Res 59(6):687–692CrossRef Kumar M, Sharma RK, Jindal MK (2013a) A novel feature extraction technique for offline handwritten Gurmukhi character recognition. IETE J Res 59(6):687–692CrossRef
Zurück zum Zitat Kumar M, Jindal MK, Sharma RK (2013b) PCA based offline handwritten Gurmukhi character recognition. Smart Comput Rev 3(5):346–357CrossRef Kumar M, Jindal MK, Sharma RK (2013b) PCA based offline handwritten Gurmukhi character recognition. Smart Comput Rev 3(5):346–357CrossRef
Zurück zum Zitat Kumar M, Sharma RK, Jindal MK (2014a) Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition. Natl Acad Sci Lett 37(4):381–391CrossRef Kumar M, Sharma RK, Jindal MK (2014a) Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition. Natl Acad Sci Lett 37(4):381–391CrossRef
Zurück zum Zitat Kumar M, Sharma RK, Jindal MK (2014b) A novel hierarchical technique for offline handwritten Gurmukhi character recognition. Natl Acad Sci Lett 37(6):567–572CrossRef Kumar M, Sharma RK, Jindal MK (2014b) A novel hierarchical technique for offline handwritten Gurmukhi character recognition. Natl Acad Sci Lett 37(6):567–572CrossRef
Zurück zum Zitat Kumar M, Jindal MK, Sharma RK (2016) Offline handwritten Gurmukhi character recognition: analytical study of different transformations. Proc Natl Acad Sci India Sect A Phys Sci 87(1):137–143CrossRef Kumar M, Jindal MK, Sharma RK (2016) Offline handwritten Gurmukhi character recognition: analytical study of different transformations. Proc Natl Acad Sci India Sect A Phys Sci 87(1):137–143CrossRef
Zurück zum Zitat Koundal K, Kumar M, Garg NK (2017) Punjabi optical character recognition: a survey. Indian J Sci Technol 10(19):1–8CrossRef Koundal K, Kumar M, Garg NK (2017) Punjabi optical character recognition: a survey. Indian J Sci Technol 10(19):1–8CrossRef
Zurück zum Zitat Kunte RS, Samuel RDS (2007) A simple and efficient optical character recognition system for basic symbols in printed Kannada text. SADHANA 32(5):521–533CrossRef Kunte RS, Samuel RDS (2007) A simple and efficient optical character recognition system for basic symbols in printed Kannada text. SADHANA 32(5):521–533CrossRef
Zurück zum Zitat Lajish VL (2007) Handwritten character recognition using perceptual fuzzy-zoning and class modular neural networks. In: Proceedings of the 4th international conference on innovations in information technology (ICIIT), pp 188–192 Lajish VL (2007) Handwritten character recognition using perceptual fuzzy-zoning and class modular neural networks. In: Proceedings of the 4th international conference on innovations in information technology (ICIIT), pp 188–192
Zurück zum Zitat Lajish VL (2008) Handwritten character recognition using gray-scale based state-space parameters and class modular NN. In: Proceedings of the international conference on signal processing, communications and networking (ICSCN), pp 374–379 Lajish VL (2008) Handwritten character recognition using gray-scale based state-space parameters and class modular NN. In: Proceedings of the international conference on signal processing, communications and networking (ICSCN), pp 374–379
Zurück zum Zitat Lajish VL, Kopparapu SK (2010) Fuzzy directional features for unconstrained on-line Devanagari handwriting recognition. In: Proceedings of the national conference on communications (NCC), pp 1–5 Lajish VL, Kopparapu SK (2010) Fuzzy directional features for unconstrained on-line Devanagari handwriting recognition. In: Proceedings of the national conference on communications (NCC), pp 1–5
Zurück zum Zitat Lehal GS, Singh C (1999) Feature extraction and classification for OCR of Gurmukhi script. Vivek 12(2):2–12 Lehal GS, Singh C (1999) Feature extraction and classification for OCR of Gurmukhi script. Vivek 12(2):2–12
Zurück zum Zitat Lehal GS, Singh C, Lehal R (2001) A shape based post processor for Gurmukhi OCR. In: Proceedings of the 6th international conference on document analysis and recognition (ICDAR), pp 1105–1109 Lehal GS, Singh C, Lehal R (2001) A shape based post processor for Gurmukhi OCR. In: Proceedings of the 6th international conference on document analysis and recognition (ICDAR), pp 1105–1109
Zurück zum Zitat Liang J, Zhu B, Kumagai T, Nakagawa M (2016) Character-position-free on-line handwritten Japanese text recognition by two segmentation methods. IEICE Trans Inf Syst E99–D(4):1172–1181 Liang J, Zhu B, Kumagai T, Nakagawa M (2016) Character-position-free on-line handwritten Japanese text recognition by two segmentation methods. IEICE Trans Inf Syst E99–D(4):1172–1181
Zurück zum Zitat Liao SX, Chiang A, Lu Q, Pawlak M (2002) Chinese character recognition via Gegenbauer moments. In: International conference on pattern recognition, pp 485–488 Liao SX, Chiang A, Lu Q, Pawlak M (2002) Chinese character recognition via Gegenbauer moments. In: International conference on pattern recognition, pp 485–488
Zurück zum Zitat Liu J, Ma SP (1996) An overview of printed Chinese character recognition techniques. In: Proceedings of the international conference on Chinese computing, Singapore, pp 325–333 Liu J, Ma SP (1996) An overview of printed Chinese character recognition techniques. In: Proceedings of the international conference on Chinese computing, Singapore, pp 325–333
Zurück zum Zitat Liwicki M, Bunke H (2007) Combining on-line and off-line systems for handwriting recognition. In: Proceedings of the international conference on document analysis and recognition (ICDAR), pp 372–376 Liwicki M, Bunke H (2007) Combining on-line and off-line systems for handwriting recognition. In: Proceedings of the international conference on document analysis and recognition (ICDAR), pp 372–376
Zurück zum Zitat Lorigo LM, Govindaraju V (2006) Offline Arabic handwriting recognition: a survey. IEEE Trans Pattern Anal Mach Intell (PAMI) 28(5):712–724CrossRef Lorigo LM, Govindaraju V (2006) Offline Arabic handwriting recognition: a survey. IEEE Trans Pattern Anal Mach Intell (PAMI) 28(5):712–724CrossRef
Zurück zum Zitat Lu S, Tu X, Lu Y (2008) An improved two-layer SOM classifier for handwritten numeral recognition. In: Proceedings of the international conference on intelligent information technology, pp 367–371 Lu S, Tu X, Lu Y (2008) An improved two-layer SOM classifier for handwritten numeral recognition. In: Proceedings of the international conference on intelligent information technology, pp 367–371
Zurück zum Zitat Modi H, Parikh MC (2017) A review on optical character recognition techniques. Int J Comput Appl 160(6):20–24 Modi H, Parikh MC (2017) A review on optical character recognition techniques. Int J Comput Appl 160(6):20–24
Zurück zum Zitat Mondal T, Bhattacharya U, Parui SK, Das K, Mandalapu D (2010) On-line handwriting recognition of Indian scripts-the first benchmark. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 200–205 Mondal T, Bhattacharya U, Parui SK, Das K, Mandalapu D (2010) On-line handwriting recognition of Indian scripts-the first benchmark. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 200–205
Zurück zum Zitat Nakagawa M, Zhu B, Onuma M (2005) A model of on-line handwritten Japanese text recognition free from line direction and writing format constraints. IEICE Trans Inf Syst E88–D(8):1815–1822 Nakagawa M, Zhu B, Onuma M (2005) A model of on-line handwritten Japanese text recognition free from line direction and writing format constraints. IEICE Trans Inf Syst E88–D(8):1815–1822
Zurück zum Zitat Pal U, Chaudhuri BB (1994) OCR in Bangla: an Indo-Bangladeshi language. In: Proceedings of the 12th international conference on pattern recognition (ICPR), pp 269–274 Pal U, Chaudhuri BB (1994) OCR in Bangla: an Indo-Bangladeshi language. In: Proceedings of the 12th international conference on pattern recognition (ICPR), pp 269–274
Zurück zum Zitat Pal U, Chaudhuri BB (1997) Automatic separation of words in multi-lingual multi-script Indian documents. In: Proceedings of the 4th international conference on document analysis and recognition (ICDAR), vol 2, pp 576–579 Pal U, Chaudhuri BB (1997) Automatic separation of words in multi-lingual multi-script Indian documents. In: Proceedings of the 4th international conference on document analysis and recognition (ICDAR), vol 2, pp 576–579
Zurück zum Zitat Pal U, Chaudhuri BB (2001) Automatic identification of English, Chinese, Arabic, Devanagari and Bangla script line. In: Proceedings of the 6th international conference on document analysis and recognition (ICDAR), pp 790–794 Pal U, Chaudhuri BB (2001) Automatic identification of English, Chinese, Arabic, Devanagari and Bangla script line. In: Proceedings of the 6th international conference on document analysis and recognition (ICDAR), pp 790–794
Zurück zum Zitat Pal U, Dutta S (2003) Segmentation of Bangla unconstrained handwritten text. In: Proceedings of the 7th international conference on document analysis and recognition (ICDAR), pp 1128–1132 Pal U, Dutta S (2003) Segmentation of Bangla unconstrained handwritten text. In: Proceedings of the 7th international conference on document analysis and recognition (ICDAR), pp 1128–1132
Zurück zum Zitat Pal U, Jayadevan R, Sharma N (2012) Handwriting recognition in Indian regional scripts: a survey of offline techniques. ACM Trans Asian Lang Inf Process 11(1):1–35CrossRef Pal U, Jayadevan R, Sharma N (2012) Handwriting recognition in Indian regional scripts: a survey of offline techniques. ACM Trans Asian Lang Inf Process 11(1):1–35CrossRef
Zurück zum Zitat Pal U, Roy K, Kimura F (2006) A lexicon driven method for unconstrained Bangla handwritten word recognition. In: Proceedings of the 10th international workshop on frontiers in handwriting recognition (IWFHR), pp 601–606 Pal U, Roy K, Kimura F (2006) A lexicon driven method for unconstrained Bangla handwritten word recognition. In: Proceedings of the 10th international workshop on frontiers in handwriting recognition (IWFHR), pp 601–606
Zurück zum Zitat Pal U, Wakabayashi T, Kimura F (2007a) Handwritten Bangla compound character recognition using gradient feature. In: Proceedings of the 10th international conference on information technology (ICIT), pp 208–213 Pal U, Wakabayashi T, Kimura F (2007a) Handwritten Bangla compound character recognition using gradient feature. In: Proceedings of the 10th international conference on information technology (ICIT), pp 208–213
Zurück zum Zitat Pal U, Sharma N, Wakabayashi T, Kimura F (2007b) Handwritten numeral recognition of six popular Indian scripts. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 2, pp 749–753 Pal U, Sharma N, Wakabayashi T, Kimura F (2007b) Handwritten numeral recognition of six popular Indian scripts. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 2, pp 749–753
Zurück zum Zitat Pal U, Sharma N, Wakabayashi T, Kimura F (2007c) Off-line handwritten character recognition of Devanagari script. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), pp 496–500 Pal U, Sharma N, Wakabayashi T, Kimura F (2007c) Off-line handwritten character recognition of Devanagari script. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), pp 496–500
Zurück zum Zitat Pal U, Wakabayashi T, Kimura F (2007d) A system for off-line Oriya handwritten character recognition using curvature feature. In: Proceedings of the 10th international conference on information technology (ICIT), pp 227–229 Pal U, Wakabayashi T, Kimura F (2007d) A system for off-line Oriya handwritten character recognition using curvature feature. In: Proceedings of the 10th international conference on information technology (ICIT), pp 227–229
Zurück zum Zitat Pal U, Roy K, Kimura F (2008) Bangla handwritten pin code string recognition for Indian postal automation. In: Proceedings of the 11th international conference on frontiers in handwriting recognition (ICFHR), pp 290–295 Pal U, Roy K, Kimura F (2008) Bangla handwritten pin code string recognition for Indian postal automation. In: Proceedings of the 11th international conference on frontiers in handwriting recognition (ICFHR), pp 290–295
Zurück zum Zitat Pal U, Wakabayashi T, Kimura F (2009) Comparative study of Devanagari handwritten character recognition using different feature and classifiers. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 1111–1115 Pal U, Wakabayashi T, Kimura F (2009) Comparative study of Devanagari handwritten character recognition using different feature and classifiers. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 1111–1115
Zurück zum Zitat Pal U, Roy RK, Kimura F (2010) Bangla and English city name recognition for Indian postal automation. In: Proceedings of the 20th international conference on pattern recognition (ICPR), pp 1985–1988 Pal U, Roy RK, Kimura F (2010) Bangla and English city name recognition for Indian postal automation. In: Proceedings of the 20th international conference on pattern recognition (ICPR), pp 1985–1988
Zurück zum Zitat Park J, Govindaraju V, Srihari SN (2000) OCR in a hierarchical feature space. IEEE Trans Pattern Anal Mach Intell (PAMI) 22(4):400–407CrossRef Park J, Govindaraju V, Srihari SN (2000) OCR in a hierarchical feature space. IEEE Trans Pattern Anal Mach Intell (PAMI) 22(4):400–407CrossRef
Zurück zum Zitat Pasha S, Padma MC (2015) Handwritten Kannada character recognition using wavelet transform and structural features. In: Proceedings of the international conference on emerging research in electronics, computer science and technology, pp 346–351 Pasha S, Padma MC (2015) Handwritten Kannada character recognition using wavelet transform and structural features. In: Proceedings of the international conference on emerging research in electronics, computer science and technology, pp 346–351
Zurück zum Zitat Patel BC, Kayasth MM (2017) Recognition of offline handwritten Gujarati numerals. I Manag J Inf Technol 6(1):14 Patel BC, Kayasth MM (2017) Recognition of offline handwritten Gujarati numerals. I Manag J Inf Technol 6(1):14
Zurück zum Zitat Prasad JR (2014) Handwritten character recognition: a review. Int J Comput Sci Netw 3(5):340–351 Prasad JR (2014) Handwritten character recognition: a review. Int J Comput Sci Netw 3(5):340–351
Zurück zum Zitat Prasad SD, Kanduri Y (2016) Telugu handwritten character recognition using adaptive and static zoning methods. In: Proceedings of the IEEE students technology symposium, pp 299–304 Prasad SD, Kanduri Y (2016) Telugu handwritten character recognition using adaptive and static zoning methods. In: Proceedings of the IEEE students technology symposium, pp 299–304
Zurück zum Zitat Prasad JR, Kulkarni UV, Prasad RS (2009) Offline handwritten character recognition of Gujarati script using pattern matching. In: Proceedings of the 3rd international conference on anti-counterfeiting, security, and identification in communication (ASID), pp 611–615 Prasad JR, Kulkarni UV, Prasad RS (2009) Offline handwritten character recognition of Gujarati script using pattern matching. In: Proceedings of the 3rd international conference on anti-counterfeiting, security, and identification in communication (ASID), pp 611–615
Zurück zum Zitat Prasanth L, Babu JV, Sharma RR, Rao PGV, Manadalapu D (2007) Elastic matching of online handwritten Tamil and Telugu scripts using local features. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 2, pp 1028–1032 Prasanth L, Babu JV, Sharma RR, Rao PGV, Manadalapu D (2007) Elastic matching of online handwritten Tamil and Telugu scripts using local features. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), vol 2, pp 1028–1032
Zurück zum Zitat Purkait P, Chanda B (2010) Off-line recognition of handwritten Bengali numerals using morphological features. In: Proceedings of the 12th international conference on the frontiers of handwriting recognition (ICFHR), pp 363–368 Purkait P, Chanda B (2010) Off-line recognition of handwritten Bengali numerals using morphological features. In: Proceedings of the 12th international conference on the frontiers of handwriting recognition (ICFHR), pp 363–368
Zurück zum Zitat Rahiman MA, Shajan A, Elizabeth A, Divya MK, Kumar GM, Rajasree MS (2010) Isolated handwritten Malayalam character recognition using HLH intensity patterns. In: Proceedings of the 2nd international conference on machine learning and computing (ICMLC), pp 147–151 Rahiman MA, Shajan A, Elizabeth A, Divya MK, Kumar GM, Rajasree MS (2010) Isolated handwritten Malayalam character recognition using HLH intensity patterns. In: Proceedings of the 2nd international conference on machine learning and computing (ICMLC), pp 147–151
Zurück zum Zitat Raj A (2015) An optical character recognition of machine printed oriya script. In: Proceedings of the 3rd international conference on image information processing, pp 543–547 Raj A (2015) An optical character recognition of machine printed oriya script. In: Proceedings of the 3rd international conference on image information processing, pp 543–547
Zurück zum Zitat Rajashekararadhya SV, Ranjan PV (2008a) Neural network based handwritten numeral recognition of Kannada and Telugu scripts. In: Proceedings of the 10th IEEE international conference on TENCON, pp 1–5 Rajashekararadhya SV, Ranjan PV (2008a) Neural network based handwritten numeral recognition of Kannada and Telugu scripts. In: Proceedings of the 10th IEEE international conference on TENCON, pp 1–5
Zurück zum Zitat Rajashekararadhya SV, Ranjan PV (2008b) Efficient zone based feature extraction algorithm for handwritten numeral recognition of four popular South Indian scripts. J Theor Appl Inf Technol 4(12):1171–1181 Rajashekararadhya SV, Ranjan PV (2008b) Efficient zone based feature extraction algorithm for handwritten numeral recognition of four popular South Indian scripts. J Theor Appl Inf Technol 4(12):1171–1181
Zurück zum Zitat Rajashekararadhya SV, Ranjan PV (2009a) Zone based feature extraction algorithm for handwritten numeral recognition of Kannada script. In: Proceedings of the IEEE international conference on advance computing conference (IACC), pp 525–528 Rajashekararadhya SV, Ranjan PV (2009a) Zone based feature extraction algorithm for handwritten numeral recognition of Kannada script. In: Proceedings of the IEEE international conference on advance computing conference (IACC), pp 525–528
Zurück zum Zitat Rajashekararadhya SV, Ranjan PV (2009b) Handwritten numeral/mixed numerals recognition of South Indian scripts: the zone based feature extraction method. J Theor Appl Inf Technol 7(1):63–79 Rajashekararadhya SV, Ranjan PV (2009b) Handwritten numeral/mixed numerals recognition of South Indian scripts: the zone based feature extraction method. J Theor Appl Inf Technol 7(1):63–79
Zurück zum Zitat Rajput GG, Hangarge M (2007) Recognition of isolated handwritten Kannada numerals based on image fusion method. In: Proceedings of the international conference on PReMI, pp 153–160 Rajput GG, Hangarge M (2007) Recognition of isolated handwritten Kannada numerals based on image fusion method. In: Proceedings of the international conference on PReMI, pp 153–160
Zurück zum Zitat Ramakrishnan AG, Shashidhar J (2013) Development of OHWR system for Kannada. VishwaBharat@tdil 39–40:67–95 Ramakrishnan AG, Shashidhar J (2013) Development of OHWR system for Kannada. VishwaBharat@tdil 39–40:67–95
Zurück zum Zitat Rampalli R, Ramakrishnan AG (2011) Fusion of complementary online and offline strategies for recognition of handwritten Kannada characters. J Univers Comput Sci (JUCS) 17(1):81–93 Rampalli R, Ramakrishnan AG (2011) Fusion of complementary online and offline strategies for recognition of handwritten Kannada characters. J Univers Comput Sci (JUCS) 17(1):81–93
Zurück zum Zitat Reddy GS, Sharma P, Prasanna SRM, Mahanta C, Sharma LN (2012a) Combined online and offline assamese handwritten numeral recognizer. In: Proceedings of the 18th national conference on communications (NCC-2012), IIT Kharagpur Reddy GS, Sharma P, Prasanna SRM, Mahanta C, Sharma LN (2012a) Combined online and offline assamese handwritten numeral recognizer. In: Proceedings of the 18th national conference on communications (NCC-2012), IIT Kharagpur
Zurück zum Zitat Reddy GS, Sarma B, Naik RK, Prasanna SRM, Mahanta C (2012b) Assamese online handwritten digit recognition system using hidden Markov models. In: Proceedings of the workshop on document analysis and recognition (DAR), pp 108–113 Reddy GS, Sarma B, Naik RK, Prasanna SRM, Mahanta C (2012b) Assamese online handwritten digit recognition system using hidden Markov models. In: Proceedings of the workshop on document analysis and recognition (DAR), pp 108–113
Zurück zum Zitat Roy K, Pal U (2006) Word-wise hand-written script separation for Indian postal automation. In: Proceedings of the 10th international workshop on frontiers in handwriting recognition (IWFHR), pp 521–526 Roy K, Pal U (2006) Word-wise hand-written script separation for Indian postal automation. In: Proceedings of the 10th international workshop on frontiers in handwriting recognition (IWFHR), pp 521–526
Zurück zum Zitat Roy K, Vajda S, Pal U, Chaudhuri BB (2004) A system towards Indian postal automation. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 580–585 Roy K, Vajda S, Pal U, Chaudhuri BB (2004) A system towards Indian postal automation. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR), pp 580–585
Zurück zum Zitat Roy K, Pal T, Pal U, Kimura F (2005) Oriya handwritten numeral recognition system. In: Proceedings of the 8th international conference on document analysis and recognition (ICDAR), pp 770–774 Roy K, Pal T, Pal U, Kimura F (2005) Oriya handwritten numeral recognition system. In: Proceedings of the 8th international conference on document analysis and recognition (ICDAR), pp 770–774
Zurück zum Zitat Sarma B, Mehrotra K, Naik RK, Prasanna SRM, Belhe S, Mahanta C (2013) Handwritten assamese numeral recognizer using HMM and SVM classifiers. In: Proceedings of the 19th national conference on communications (NCC), IIT Delhi Sarma B, Mehrotra K, Naik RK, Prasanna SRM, Belhe S, Mahanta C (2013) Handwritten assamese numeral recognizer using HMM and SVM classifiers. In: Proceedings of the 19th national conference on communications (NCC), IIT Delhi
Zurück zum Zitat Sastry PN, Krishnan R, Ram BVS (2010) Classification and identification of Telugu handwritten characters extracted from palm leaves using decision tree approach. ARPN J Appl Eng Appl Sci 5(3):22–32 Sastry PN, Krishnan R, Ram BVS (2010) Classification and identification of Telugu handwritten characters extracted from palm leaves using decision tree approach. ARPN J Appl Eng Appl Sci 5(3):22–32
Zurück zum Zitat Sastry PN, Lakshmi TRV, Rao NVK, Rajinikanth TV, Wahab A (2014) Telugu handwritten character recognition using zoning features. In: Proceedings of the international conference on IT convergence and security, pp 1–4 Sastry PN, Lakshmi TRV, Rao NVK, Rajinikanth TV, Wahab A (2014) Telugu handwritten character recognition using zoning features. In: Proceedings of the international conference on IT convergence and security, pp 1–4
Zurück zum Zitat Schantz HF (1982) History of OCR, optical character recognition. Recognition Technologies Users Association Schantz HF (1982) History of OCR, optical character recognition. Recognition Technologies Users Association
Zurück zum Zitat Schomaker L (2007) Retrieval of handwritten lines in historical documents. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), pp 594–598 Schomaker L (2007) Retrieval of handwritten lines in historical documents. In: Proceedings of the 9th international conference on document analysis and recognition (ICDAR), pp 594–598
Zurück zum Zitat Schomaker L, Segers E (1999) Finding features used in the human reading of cursive handwriting. Int J Doc Anal Recognit (IJDAR) 2:13–18CrossRef Schomaker L, Segers E (1999) Finding features used in the human reading of cursive handwriting. Int J Doc Anal Recognit (IJDAR) 2:13–18CrossRef
Zurück zum Zitat Sethi K, Chatterjee B (1976) Machine recognition of constrained hand-printed Devanagari numerals. J Inst Electr Telecom Eng 22:532–535 Sethi K, Chatterjee B (1976) Machine recognition of constrained hand-printed Devanagari numerals. J Inst Electr Telecom Eng 22:532–535
Zurück zum Zitat Shahin AA (2017) Printed Arabic text recognition using linear and nonlinear regression. Int J Adv Comput Syst Appl 8(1):227–235 Shahin AA (2017) Printed Arabic text recognition using linear and nonlinear regression. Int J Adv Comput Syst Appl 8(1):227–235
Zurück zum Zitat Sharma DV, Lehal GS (2006) An iterative algorithm for segmentation of isolated handwritten words in Gurmukhi script. In: Proceedings of the 18th international conference on pattern recognition (ICPR), vol 2, pp 1022–1025 Sharma DV, Lehal GS (2006) An iterative algorithm for segmentation of isolated handwritten words in Gurmukhi script. In: Proceedings of the 18th international conference on pattern recognition (ICPR), vol 2, pp 1022–1025
Zurück zum Zitat Sharma DV, Lehal GS (2009) Form field frame boundary removal for form processing system in Gurmukhi script. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 256–260 Sharma DV, Lehal GS (2009) Form field frame boundary removal for form processing system in Gurmukhi script. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 256–260
Zurück zum Zitat Sharma A, Kumar R, Sharma RK (2008) Online handwritten Gurmukhi character recognition using elastic matching. In: Proceedings of the congress on image and signal processing, pp 391–396 Sharma A, Kumar R, Sharma RK (2008) Online handwritten Gurmukhi character recognition using elastic matching. In: Proceedings of the congress on image and signal processing, pp 391–396
Zurück zum Zitat Sharma DV, Lehal GS, Mehta S (2009) Shape encoded post processing of Gurmukhi OCR. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 788–792 Sharma DV, Lehal GS, Mehta S (2009) Shape encoded post processing of Gurmukhi OCR. In: Proceedings of the 10th international conference on document analysis and recognition (ICDAR), pp 788–792
Zurück zum Zitat Sharma DV, Jhajj P (2010) Recognition of isolated handwritten characters in Gurmukhi script. Int J Comput Appl 4(8):9–17 Sharma DV, Jhajj P (2010) Recognition of isolated handwritten characters in Gurmukhi script. Int J Comput Appl 4(8):9–17
Zurück zum Zitat Shelke S, Apte A (2011) A multistage handwritten Marathi compound character recognition scheme using neural networks and wavelet features. Int J Signal Process Image Process Pattern Recognit 4(1):81–94 Shelke S, Apte A (2011) A multistage handwritten Marathi compound character recognition scheme using neural networks and wavelet features. Int J Signal Process Image Process Pattern Recognit 4(1):81–94
Zurück zum Zitat Singh A, Bacchuwar K, Bhasin A (2012) A survey of OCR applications. Int J Mach Learn Comput 2(3):314–318CrossRef Singh A, Bacchuwar K, Bhasin A (2012) A survey of OCR applications. Int J Mach Learn Comput 2(3):314–318CrossRef
Zurück zum Zitat Sonkusare M, Sahu N (2016) A survey on handwritten character recognition (HCR) techniques for English alphabets. Adv Vis Comput Int J 3(1):1–12CrossRef Sonkusare M, Sahu N (2016) A survey on handwritten character recognition (HCR) techniques for English alphabets. Adv Vis Comput Int J 3(1):1–12CrossRef
Zurück zum Zitat Sopon P, Suksamer T, Polpinij J, Chamchong R (2017) A framework for Thai text retrieval using speech. In: Proceedings of the 6th international conference on computing and informatics, pp 517–522 Sopon P, Suksamer T, Polpinij J, Chamchong R (2017) A framework for Thai text retrieval using speech. In: Proceedings of the 6th international conference on computing and informatics, pp 517–522
Zurück zum Zitat Sreeraj M, Idicula SM (2010) $k$-NN based on-line handwritten character recognition system. In: Proceedings of the 1st international conference on integrated intelligent computing (ICIIC), pp 171–176 Sreeraj M, Idicula SM (2010) $k$-NN based on-line handwritten character recognition system. In: Proceedings of the 1st international conference on integrated intelligent computing (ICIIC), pp 171–176
Zurück zum Zitat Srihari SN, Leedham G (2003) A survey of computer methods in forensic handwritten document examination. In: Proceedings of the 11th international graphonomics society conference (IGS), pp 278–281 Srihari SN, Leedham G (2003) A survey of computer methods in forensic handwritten document examination. In: Proceedings of the 11th international graphonomics society conference (IGS), pp 278–281
Zurück zum Zitat Sundaram S, Ramakrishnan AG (2008) Two dimensional principal component analysis for online character recognition. In: Proceedings of the 11th international conference on frontiers in handwriting recognition (ICFHR), pp 88–94 Sundaram S, Ramakrishnan AG (2008) Two dimensional principal component analysis for online character recognition. In: Proceedings of the 11th international conference on frontiers in handwriting recognition (ICFHR), pp 88–94
Zurück zum Zitat Sundaram S, Ramakrishnan AG (2013) Attention-feedback based robust segmentation of online handwritten isolated Tamil words. ACM Trans Asian Lang Inf Process (TALIP) 12(1):4 Sundaram S, Ramakrishnan AG (2013) Attention-feedback based robust segmentation of online handwritten isolated Tamil words. ACM Trans Asian Lang Inf Process (TALIP) 12(1):4
Zurück zum Zitat Sundaram S, Ramakrishnan AG (2014) Performance enhancement of online handwritten Tamil symbol recognition with reevaluation techniques. Pattern Anal Appl (PAA) 17(3):587–609MathSciNetCrossRef Sundaram S, Ramakrishnan AG (2014) Performance enhancement of online handwritten Tamil symbol recognition with reevaluation techniques. Pattern Anal Appl (PAA) 17(3):587–609MathSciNetCrossRef
Zurück zum Zitat Sunija AP, Rajisha RM, Riyas KS (2016) Comparative study of different classifiers for Malayalam dialect recognition system. In: Proceedings of the international conference on emerging trends in engineering, science and technology, pp 1080–1088 Sunija AP, Rajisha RM, Riyas KS (2016) Comparative study of different classifiers for Malayalam dialect recognition system. In: Proceedings of the international conference on emerging trends in engineering, science and technology, pp 1080–1088
Zurück zum Zitat Swaileh W, Lerouge J, Paquet T (2016) A unified French/English syllabic model for handwriting recognition. In: Proceedings of the 15th international conference on frontiers in handwriting recognition, pp 536–541 Swaileh W, Lerouge J, Paquet T (2016) A unified French/English syllabic model for handwriting recognition. In: Proceedings of the 15th international conference on frontiers in handwriting recognition, pp 536–541
Zurück zum Zitat Tran DC, Franco P, Ogier J (2010) Accented handwritten character recognition using SVM-application to French. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 65–71 Tran DC, Franco P, Ogier J (2010) Accented handwritten character recognition using SVM-application to French. In: Proceedings of the 12th international conference on frontiers in handwriting recognition (ICFHR), pp 65–71
Zurück zum Zitat Tripathy N, Pal U (2004) Handwriting segmentation of unconstrained Oriya text. In: Proceedings of the 9th international workshop frontiers in handwriting recognition (IWFHR), pp 306–311 Tripathy N, Pal U (2004) Handwriting segmentation of unconstrained Oriya text. In: Proceedings of the 9th international workshop frontiers in handwriting recognition (IWFHR), pp 306–311
Zurück zum Zitat Tsai C (2016) Recognizing handwritten Japanese characters using deep convolutional neural networks, Report, pp 1–7 Tsai C (2016) Recognizing handwritten Japanese characters using deep convolutional neural networks, Report, pp 1–7
Zurück zum Zitat Venkatesh N, Ramakrishnan AG (2011) Choice of classifiers in hierarchical recognition of online handwritten Kannada and Tamil aksharas. J Univers Comput Sci (JUCS) 17:94–106 Venkatesh N, Ramakrishnan AG (2011) Choice of classifiers in hierarchical recognition of online handwritten Kannada and Tamil aksharas. J Univers Comput Sci (JUCS) 17:94–106
Zurück zum Zitat Wang X, Govindaraju V, Srihari S (2000) Holistic recognition of handwritten character pairs. Pattern Recognit 33(12–33):1967–1973MATHCrossRef Wang X, Govindaraju V, Srihari S (2000) Holistic recognition of handwritten character pairs. Pattern Recognit 33(12–33):1967–1973MATHCrossRef
Zurück zum Zitat Zhang XZ, Yan CD, Liu XY (1990) Feature point method of Chinese character recognition and its application. J Comput Sci 5(4):305–311 Zhang XZ, Yan CD, Liu XY (1990) Feature point method of Chinese character recognition and its application. J Comput Sci 5(4):305–311
Zurück zum Zitat Zhu B, Zhou XD, Liu CL, Nakagawa M (2010) A robust model for on-line handwritten Japanese text recognition. Int J Doc Anal Recognit (IJDAR) 13(2):121–131CrossRef Zhu B, Zhou XD, Liu CL, Nakagawa M (2010) A robust model for on-line handwritten Japanese text recognition. Int J Doc Anal Recognit (IJDAR) 13(2):121–131CrossRef
Metadaten
Titel
Character and numeral recognition for non-Indic and Indic scripts: a survey
verfasst von
Munish Kumar
M. K. Jindal
R. K. Sharma
Simpel Rani Jindal
Publikationsdatum
03.01.2018
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 4/2019
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-017-9607-x

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