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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:64891", author = "Gulzar A. Khuwaja and Mohammad S. Laghari", title = "Offline Handwritten Signature Recognition", abstract = "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.", volume = "5", number = "11", pages = "1484-4", }
