Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31100
Offline Handwritten Signature Recognition

Authors: Gulzar A. Khuwaja, Mohammad S. Laghari


Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents a neural network based recognition of offline handwritten signatures system that is trained with low-resolution scanned signature images.

Keywords: Pattern Recognition, Computer Vision, AdaptiveClassification, Handwritten Signature Recognition

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2521


[1] G.A. Khuwaja. An adaptive combined classifier system for invariant face recognition. Digital Signal Processing 12, 21-46, DOI:10.1006/dspr.2001.0413, 2002.
[2] D. Zhang, J. Campbell, D. Maltoni, and R. Bolle. Special issue on biometric systems. IEEE Trans. Systems, Man and Cybernetics - C, 35(3):273-275, 2005.
[3] K. Bowyer, V. Govindaraju, and N. Ratha. Introduction to the special issue on recent advances in biometric systems. IEEE Trans. Systems, Man and Cybernetics - B, 37(5): 1091-1095, 2007.
[4] G. A. Khuwaja. Fingerprint identification with LVQ. Proc of the 9th IEEE Int Conf on Neural Information Processing (ICONIP'OZ), Vol. 2, Singapore, Nov. 2002.
[5] J.F. Vargas, M.A. Ferrer, C.M. Travieso, and J. B. Alonso. Offline signature verification based on pseudo-cepstral coefficients. 10th IEEE Int Conf on Document Anal. & Recognition, 2009.
[6] A.I. Al-Shoshan. Handwritten signature verification using image invariants and dynamic features. Proc of the IEEE Int Conf on Computer Graphics, Imaging and Visualization (CGIV'06), 2006.
[7] M. Piekarczyk. Hierarchical random graph model for off-line handwritten signatures recognition. IEEE Int Conf on Complex, Intelligent, Software Intensive Systems, 2010.
[8] S.M.S. Ahmad, A. Shakil, M.A. Faudzi, R.M. Anwar. Analysis of 'goat' within user population of an offline signature biometrics. 10th IEEE Int Conf on Information Science, Signal Processing and their Applications (ISSPA 2010).
[9] J.P. Drouhard, R. Sabourin, and M. Godbout. A neural network approach to off-line signature verification using directional PDF. Pattern Recognition, 29(3), (1996), 415--424.
[10] E.J.R. Justino, F. Bertolozzi, and R. Sabourin. A comparison of SVM and HMM classifiers in the offline signature verification. Pattern Recognition Letters, vol. 26, 1377-1385, 2005.
[11] K. Delac and M. Grgic. A survey of biometric recognition methods. Proc of 46th IEEE Int Symposium Electronics, Croatia, 184-193, June 2004.
[12] B. Kovari, Z. Kertesz, and A. Major. Off-line signature verification based on feature matching. 11th IEEE Int Conf on Intelligent Engineering Systems, Budapest, Hungary, 29 June - 1 July 2007.
[13] A. Kholmatov and B. Yanikoglu. Identity authentication using improved on-line signature verification method. Pattern Recognition Letters, Volume 26, Issue 15, November 2005, pp. 2400-2408.
[14] T.S. Ong, W.H. Khoh, A. Teoh. Dynamic handwritten signature verification based on statistical quantization Mechanism. IEEE Int Conf on Computer Engineering and Technology, 2009.
[15] J. Edson, R. Justino, F. Bortolozzi, and R. Sabourin: "An off-line signature verification using HMM for random, simple and skilled forgeries," Proc. Sixth Int. Conf. Document Analysis and Recognition, pp. 1031-1034, Sept. 2001.
[16] B. Zhang, M. Fu and H. Yan: "Handwritten signature verification based on neural ÔÇÿGas- based vector quantization", IEEE Int.Joint Conf. on Neural Networks, pp. 1862-1864, May 1998.
[17 J.F. Vélez, ├ü. S├ínchez , and A.B. Moreno: "Robust off-line signature verification using compression networks and positional cuttings", Proc. 2003 IEEE Workshop on Neural Networks for Signal Processing, vol. 1, pp. 627-636, 2003.
[18] M. Arif and N. Vincent: "Comparison of three data fusion methods for an off-line signature verification problem", Laboratoire d-Informatique, Université de Fran├ºois Rabelais, 2003.
[19] A. Chalechale and A. Mertins: "Line segment distribution of sketches for persian signature recognition", IEEE Proc. TENCON, vol. 1, pp. 11-15, Oct. 2003.
[20] A. Jain, F. Griess, and S. Connell: "Online signature verification", Pattern Recognition 35, 2002, pp. 2963-2972.
[21] P.A. Hughes and A.D.P. Green. The use of neural networks for fingerprint classification. Proc. 2nd Int. Conf. Neural Networks, 79-81, 1991.
[22] G. A. Khuwaja. LVQ base models for recognition of human faces. Int. Journal of Computer Applications in Technology, Vol. 16, No. 4, 181- 193, 2002.
[23] T. Kohonen. Self-Organizing Maps. Springer Verlag, Berlin, Germany, 1995.