Skip to main content
Top
Published in: Neural Computing and Applications 10/2021

03-08-2020 | S.I. : Higher Level Artificial Neural Network Based Intelligent Systems

ATP-DenseNet: a hybrid deep learning-based gender identification of handwriting

Authors: Gang Xue, Shifeng Liu, Daqing Gong, Yicao Ma

Published in: Neural Computing and Applications | Issue 10/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Digital forensics has a vital effect in several domains and mainly focuses on reactive measures, especially when facing digital incidents. Gender identification becomes the important problem in the realm of forensic techniques and handwriting recognition. In this paper, attention-based two-pathway Densely Connected Convolutional Networks (ATP-DenseNet) is proposed to identify the gender of handwriting. There are two pathways in ATP-DenseNet: Feature pyramid could extract hierarchical page feature, and attention-based DenseNet (A-DenseNet) could extract the word feature by fusing Convolutional Block Attention Module (CBAM) and dense connected block. Finally, ATP-DenseNet makes the final prediction combining the two pathways. Experimental results show the efficiency of ATP-DenseNet, and the proposed method performs better than other researches. And the visualization of the feature maps can help us to know which part of the image contributes most to the gender identity.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literature
2.
go back to reference Ellison D, Venter H (2016) An ontology for digital security and digital forensics investigative techniques. In: Proceedings of the 11th international conference on cyber warfare and security, ICCWS, pp. 119–127 Ellison D, Venter H (2016) An ontology for digital security and digital forensics investigative techniques. In: Proceedings of the 11th international conference on cyber warfare and security, ICCWS, pp. 119–127
3.
go back to reference Al-Masri E, Bai Y, Li J (2018) A fog-based digital forensics investigation framework for IoT systems. In: 2018 IEEE international conference on smart cloud (SmartCloud), pp. 196–201, IEEE Al-Masri E, Bai Y, Li J (2018) A fog-based digital forensics investigation framework for IoT systems. In: 2018 IEEE international conference on smart cloud (SmartCloud), pp. 196–201, IEEE
4.
go back to reference Shen MX, Wu ZX, Park TS (2012) Securing evidence of file wiping for digital forensic on flash memory. J KIISE: Databases 39(5):271–278 Shen MX, Wu ZX, Park TS (2012) Securing evidence of file wiping for digital forensic on flash memory. J KIISE: Databases 39(5):271–278
9.
go back to reference Beech JR, Mackintosh IC (2005) Do differences in sex hormones affect handwriting style? evidence from digit ratio and sex role identity as determinants of the sex of handwriting. Pers Individ Differ 39:459–468CrossRef Beech JR, Mackintosh IC (2005) Do differences in sex hormones affect handwriting style? evidence from digit ratio and sex role identity as determinants of the sex of handwriting. Pers Individ Differ 39:459–468CrossRef
11.
go back to reference Du L, You X, Xu H, Gao Z, Tang Y (2010) Wavelet domain local binary pattern features for writer identification. In: Proceedings of 20th international conference on pattern recognition (ICPR), IEEE. pp. 3691–3694 Du L, You X, Xu H, Gao Z, Tang Y (2010) Wavelet domain local binary pattern features for writer identification. In: Proceedings of 20th international conference on pattern recognition (ICPR), IEEE. pp. 3691–3694
12.
go back to reference Tan T (1992) Texture feature extraction via visual cortical channel modelling. In: Proceedings of 11th IAPR international conference on pattern recognition Vol. III. conference c: image, speech and signal analysis, IEEE. pp. 607–610 Tan T (1992) Texture feature extraction via visual cortical channel modelling. In: Proceedings of 11th IAPR international conference on pattern recognition Vol. III. conference c: image, speech and signal analysis, IEEE. pp. 607–610
13.
go back to reference Liu CL (2007) Normalization-cooperated gradient feature extraction for handwritten character recognition. IEEE Trans Pattern Anal Mach Intell 29:1465–1469CrossRef Liu CL (2007) Normalization-cooperated gradient feature extraction for handwritten character recognition. IEEE Trans Pattern Anal Mach Intell 29:1465–1469CrossRef
14.
go back to reference Tan J, Lai JH, Zuo XX. (2012) The dataset system of economic dispute handwritten (dsedh) based on stroke shape and structure features. In: Proceedings of 21st international conference on pattern recognition (ICPR), IEEE. pp. 661–664 Tan J, Lai JH, Zuo XX. (2012) The dataset system of economic dispute handwritten (dsedh) based on stroke shape and structure features. In: Proceedings of 21st international conference on pattern recognition (ICPR), IEEE. pp. 661–664
15.
go back to reference Xu L, Ding X, Peng L, Li X (2011) An improved method based on weighted grid micro-structure feature for text-independent writer recognition. In: Proceedings of international conference on document analysis and recognition (ICDAR), IEEE. pp. 638–642 Xu L, Ding X, Peng L, Li X (2011) An improved method based on weighted grid micro-structure feature for text-independent writer recognition. In: Proceedings of international conference on document analysis and recognition (ICDAR), IEEE. pp. 638–642
16.
go back to reference Wen J, Fang B, Chen J, Tang Y, Chen H (2012) Fragmented edge structure coding for chinese writer identification. Neurocomputing 86:45–51CrossRef Wen J, Fang B, Chen J, Tang Y, Chen H (2012) Fragmented edge structure coding for chinese writer identification. Neurocomputing 86:45–51CrossRef
19.
go back to reference Chayan H, Md. Obaidullah Sk., Kaushik R (2016) Offline writer identification from isolated characters using textural features. In: Proceedings of the 4th international conference on frontiers in intelligent computing: theory and applications (FICTA) 2015. Springer India. http://dx.doi.org/10.1007/978-81-322-2695-6_20 Chayan H, Md. Obaidullah Sk., Kaushik R (2016) Offline writer identification from isolated characters using textural features. In: Proceedings of the 4th international conference on frontiers in intelligent computing: theory and applications (FICTA) 2015. Springer India. http://​dx.​doi.​org/​10.​1007/​978-81-322-2695-6_​20
22.
go back to reference Arandjelovic R, Zisserman A (2012) Three things everyone should know to improve object retrieval. In: Computer vision and pattern recognition. IEEE. http://dx.doi.org/10.1109/CVPR.2012.6248018 Arandjelovic R, Zisserman A (2012) Three things everyone should know to improve object retrieval. In: Computer vision and pattern recognition. IEEE. http://​dx.​doi.​org/​10.​1109/​CVPR.​2012.​6248018
33.
go back to reference Liu M, Jin L, Xie Z (2017) PS-LSTM: capturing essential sequential online information with path signature and LSTM for writer identification. In: IAPR international conference on document analysis & recognition. IEEE Computer Society. http://dx.doi.org/10.1109/ICDAR.2017.114 Liu M, Jin L, Xie Z (2017) PS-LSTM: capturing essential sequential online information with path signature and LSTM for writer identification. In: IAPR international conference on document analysis & recognition. IEEE Computer Society. http://​dx.​doi.​org/​10.​1109/​ICDAR.​2017.​114
38.
go back to reference Woo S, Park J, Lee J.-Y, Kweon IS (2018) CBAM: convolutional block attention module. In: Proc. Eur. Conf. Comput. Vis. (ECCV), Munich, German, Sep. 2018, pp. 8–14 Woo S, Park J, Lee J.-Y, Kweon IS (2018) CBAM: convolutional block attention module. In: Proc. Eur. Conf. Comput. Vis. (ECCV), Munich, German, Sep. 2018, pp. 8–14
39.
go back to reference Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: IEEE conference on computer vision and pattern recognition (CVPR), Honolulu, HI, 2017, pp. 2261–2269 Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: IEEE conference on computer vision and pattern recognition (CVPR), Honolulu, HI, 2017, pp. 2261–2269
40.
go back to reference Lin TY, Dollár P, Girshick R, He K, Hariharan B, Belongie S (2016) Feature pyramid networks for object detection Lin TY, Dollár P, Girshick R, He K, Hariharan B, Belongie S (2016) Feature pyramid networks for object detection
41.
go back to reference Zagoruyko S, Komodakis N (2017) Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer. In: ICLR Zagoruyko S, Komodakis N (2017) Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer. In: ICLR
42.
go back to reference He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proc. IEEE conf. comput. vis. pattern recognit.(CVPR), Jun. 2016, pp. 770–778 He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proc. IEEE conf. comput. vis. pattern recognit.(CVPR), Jun. 2016, pp. 770–778
43.
go back to reference D. P. Kingma and J. L. Ba, “Adam: A method for stochastic optimization,” in Proc. Int. Conf. Learn. Represent. (ICLR), 2015 D. P. Kingma and J. L. Ba, “Adam: A method for stochastic optimization,” in Proc. Int. Conf. Learn. Represent. (ICLR), 2015
44.
go back to reference Hassaine A, Maadeed SA, Aljaam J, Jaoua A (2013) ICDAR 2013 competition on gender prediction from handwriting. In: International conference on document analysis & recognition. IEEE Computer Society Hassaine A, Maadeed SA, Aljaam J, Jaoua A (2013) ICDAR 2013 competition on gender prediction from handwriting. In: International conference on document analysis & recognition. IEEE Computer Society
45.
go back to reference Maadeed SA, Ayouby W, Hassaine A, Aljaam JM (2012) QUWI: an Arabic and English handwriting dataset for offline writer identification. In: International conference on frontiers in handwriting recognition (ICFHR), IEEE, 2012, pp. 746–751 Maadeed SA, Ayouby W, Hassaine A, Aljaam JM (2012) QUWI: an Arabic and English handwriting dataset for offline writer identification. In: International conference on frontiers in handwriting recognition (ICFHR), IEEE, 2012, pp. 746–751
46.
go back to reference Marti U-V, Bunke H (2002) The IAM-database: an english sentence database for offline handwriting recognition. Int J Doc Anal. Recognit 5(1):39–46CrossRef Marti U-V, Bunke H (2002) The IAM-database: an english sentence database for offline handwriting recognition. Int J Doc Anal. Recognit 5(1):39–46CrossRef
47.
go back to reference Mahmoud SA, Ahmad I, AI-Khatib WG, Alshayeb M, Parvez MT, Margner V, Fink GA (2014) KHATT: an open arabic offline handwritten text database. Pattern Recognit 47(3):1096–1112CrossRef Mahmoud SA, Ahmad I, AI-Khatib WG, Alshayeb M, Parvez MT, Margner V, Fink GA (2014) KHATT: an open arabic offline handwritten text database. Pattern Recognit 47(3):1096–1112CrossRef
48.
go back to reference Abbasi H, Olyaee M, Ghafari HR (2013) Rectifying reverse polygonization of digital curves for dominant point detection. Int J Comput Sci Issues (IJCSI) 10:154–163 Abbasi H, Olyaee M, Ghafari HR (2013) Rectifying reverse polygonization of digital curves for dominant point detection. Int J Comput Sci Issues (IJCSI) 10:154–163
49.
go back to reference Blumenstein M, Liu XY, Verma B (2007) An investigation of the modified direction feature for cursive character recognition. Pattern Recogn 40:376–388CrossRef Blumenstein M, Liu XY, Verma B (2007) An investigation of the modified direction feature for cursive character recognition. Pattern Recogn 40:376–388CrossRef
50.
go back to reference Siddiqi, I., Vincent, N., 2009. A set of chain code based features for writer recognition. In: Proceedings of 10th international conference on document analysis and recognition(ICDAR), IEEE. pp. 981–985 Siddiqi, I., Vincent, N., 2009. A set of chain code based features for writer recognition. In: Proceedings of 10th international conference on document analysis and recognition(ICDAR), IEEE. pp. 981–985
51.
go back to reference Siddiqi I, Vincent N (2010) Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features. Pattern Recognit 43:3853–3865CrossRef Siddiqi I, Vincent N (2010) Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features. Pattern Recognit 43:3853–3865CrossRef
52.
go back to reference Ibrahim AS, Youssef AE, Abbott AL (2014) Global vs local features for gender identification using arabic and english handwriting. In: Proc. ISSPIT, pp 155–160, 2014 Ibrahim AS, Youssef AE, Abbott AL (2014) Global vs local features for gender identification using arabic and english handwriting. In: Proc. ISSPIT, pp 155–160, 2014
53.
go back to reference N. Bouadjenek, H. Nemmour and Y. Chibani, “Local descriptors to improve offline handwriting-based gender identification”, In Proc. ICSCP, pp 43-46, 2014 N. Bouadjenek, H. Nemmour and Y. Chibani, “Local descriptors to improve offline handwriting-based gender identification”, In Proc. ICSCP, pp 43-46, 2014
54.
go back to reference Bouadjenek N, Nemmour H, Chibani Y (2015) Age, gender and handedness prediction from handwriting using gradient features. In: Proc. ICDAR, pp 1116–1120, 2015 Bouadjenek N, Nemmour H, Chibani Y (2015) Age, gender and handedness prediction from handwriting using gradient features. In: Proc. ICDAR, pp 1116–1120, 2015
55.
go back to reference Navya BJ, Shivakumara P, Shwetha GC, Roy S, Lu T (2018) Adaptive multi-gradient kernels for handwritting based gender identification. In: International conference on frontiers in handwriting recognition Navya BJ, Shivakumara P, Shwetha GC, Roy S, Lu T (2018) Adaptive multi-gradient kernels for handwritting based gender identification. In: International conference on frontiers in handwriting recognition
56.
go back to reference Brahmachary TK, Ahmed S, Mia MS (2018) Safety and quality management practices in construction sector: a case study. J Syst Manag Sci 8(2):47–64 Brahmachary TK, Ahmed S, Mia MS (2018) Safety and quality management practices in construction sector: a case study. J Syst Manag Sci 8(2):47–64
57.
go back to reference Hai Li, Fan Chunxiao Wu, Yuexin Liu Jie, Lilin Rao (2014) Research of LDAP-based IOT object information management scheme. J Logist Inf Serv Sci 1(1):51–60 Hai Li, Fan Chunxiao Wu, Yuexin Liu Jie, Lilin Rao (2014) Research of LDAP-based IOT object information management scheme. J Logist Inf Serv Sci 1(1):51–60
Metadata
Title
ATP-DenseNet: a hybrid deep learning-based gender identification of handwriting
Authors
Gang Xue
Shifeng Liu
Daqing Gong
Yicao Ma
Publication date
03-08-2020
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 10/2021
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05237-3

Other articles of this Issue 10/2021

Neural Computing and Applications 10/2021 Go to the issue

S.I. : Higher Level Artificial Neural Network Based Intelligent Systems

Privacy-preserving image multi-classification deep learning model in robot system of industrial IoT

Premium Partner