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2017 | OriginalPaper | Chapter

Recognition of Handwritten Indic Script Numerals Using Mojette Transform

Authors : Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri

Published in: Proceedings of the First International Conference on Intelligent Computing and Communication

Publisher: Springer Singapore

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Abstract

Handwritten Digit Recognition (HDR) has become one of the challenging areas of research in the field of document image processing during the last few decades. It has wide variety of applications including reading the amounts in cheque, mail sorting, reading aid for the blind and so on. In this paper, an attempt is made to recognize handwritten digits written in four different scripts namely, Bangla, Devanagari, Arabic and Telugu using Mojette transform. The Principal Component Analysis (PCA) is then applied for dimensionality reduction of the feature vector and also shortening the training time. Finally, a 48-element feature vector is tested on CMATERdb3 handwritten digit databases using multiple classifiers and an average overall accuracy of 98.17 % is achieved using Multi Layer Perceptron (MLP) classifier.

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Literature
1.
R. G. Mihalyi, “Handwritten digit classification using support vector machines”, Jacobs University, Bremen, Germany, 2011.
2.
M. S. Akhtar, H. A. Qureshi, “Handwritten Digit Recognition through Wavelet Decomposition and Wavelet Packet Decomposition”, In; 8th International Conference on Digital Information Management (ICDIM), pp. 143–148, 2013.
3.
Z. Dan, C. Xu, “The Recognition of Handwritten Digits Based on BP Neural Network and the Implementation on Android”, In: 3rd International Conference on Intelligent System Design and Engineering Applications, pp. 1498–1501, 2013.
4.
U. R. Babu, Y. Venkateswarlu, A. K. Chintha, “Handwritten Digit Recognition Using K-Nearest Neighbour Classifier”, In: World Congress on Computing and Communication Technologies (WCCCT), pp. 60–65, 2014.
5.
R. Ebrahimzadeh, M. Jampour, “Efficient Handwritten Digit Recognition based on Histograms of Oriented Gradients and SVM”, In: International Journal of Computer Applications, vol. 104, No. 9, pp. 10–13, 2014.
6.
A. M. Gil, C. F. F. C. Filho, M. G. F. Costa, “Handwritten Digit Recognition Using SVM Binary Classifiers and Unbalanced Decision Trees”, In: Image Analysis and Recognition, Springer, LNCS 8814, pp. 246–255, 2014.
7.
B. EL. Qacimy, M. A. Kerroum, A. Hammouch, “Feature Extraction based on DCT for Handwritten Digit Recognition”, In: International Journal of Computer Science, vol. 11, Issue 6, No. 2, pp. 27–33, 2014.
8.
S. AL. Mansoori, “Intelligent Handwritten Digit Recognition using Artificial Neural Network”, In: International Journal of Engineering Research and Applications, vol. 5, Issue 5, pp. 46–51, 2015.
9.
B.V. Dhandra, R.G. Benne, M. Hangarge, “Kannada, telugu and devanagari handwritten numeral recognition with probabilistic neural network: a script independent approach”, In: International Journal of Computer Applications 26, pp. 11–16, 2011.
10.
N. Das, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri, D. K. Basu, “A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application”, In: Applied Soft Computing (ASC), 12(5), pp. 1592–1606, 2012.
11.
N. Das, J. M. Reddy, R. Sarkar, S. Basu, M. Kundu, M. Nasipuri, D. K. Basu, “A Statistical-topological feature combination for recognition of handwritten numerals”, In: Applied Soft Computing (ASC), 12(8), pp. 2486–2495, 2012.
12.
J. H. AlKhateeb, M. Alseid, “DBN Based learning for Arabic Handwritten Digit Recognition Using DCT Features”, In: 6th International Conference on Computer Science and Information Technology (CSIT), 2014.
13.
J. P. Guedon, N. Normand, “The Mojette Transform: The First Ten Years”, In: Discrete Geometry for Computer Imagery, LNCS 3429, pp. 79–91, Poitier, France, 2005.
14.
15.
K. Pearson, “On Lines and Planes of Closest Fit to Systems of Points in Space”, In: Philosophical Magazine, 2(11), pp. 559–572, 1901.
16.
R. C. Gonzalez, R. E. Woods, “Digital Image Processing”, vol. I. Prentice-Hall, India (1992).
Metadata
Title
Recognition of Handwritten Indic Script Numerals Using Mojette Transform
Authors
Pawan Kumar Singh
Supratim Das
Ram Sarkar
Mita Nasipuri
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceedings of the First International Conference on Intelligent Computing and Communication

Print ISBN: 978-981-10-2034-6

Electronic ISBN: 978-981-10-2035-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-2035-3_47

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