Learning strategies and classification methods for off-line signature verification

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2004, Pages 161-166

  Srihari, Sargur N ^a   Xu, Aihua ^a   Kalera, Meenakshi K ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; NAVE BAYES (NB) CLASSIFIERS; OFF-LINE SIGNATURE VERIFICATION; SUPPORT VECTOR MACHINE (SVM);

COMPUTATION THEORY; FEATURE EXTRACTION; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS; STATISTICS; VECTORS;

CHARACTER RECOGNITION;

EID: 18044377223     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWFHR.2004.61     Document Type: Conference Paper

References (22)

1. M. Ammar, Y. Yoshido, and T. Fukumura. A new effective approach for off-line verification of signatures by using pressure features. Proceedings of the 8th International Conference on Pattern Recognition, pages 566-569, 1986.
2. B. Boser, I. Guyon, and V. Vapnik. A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual Workshop on Computational Learning Theory, 1992.
3. C. C. Chang and J. L. C. Libsvm: a library for support vector machines, http://www.csie.ntu.edu.tw/cjlin/libsvmtools, 2001.
4. Y. Chen, X. Zhou, and T. S. Huang. One-class svm for learning in image retrieval. IEEE Proceedings of International Conference on Image Processing, pages 440-447, 1999.
5. Fang, C. H. Leung, Y. Y. Tang, K. W. Tse, P. C. K. Kwok, and Y. K. Wong. Off-line signature verification by the tracking of feature and stroke positions. Pattern Recognition, 36:91-101, 2003.
6. J. K. Guo, D. Doermann, and A. Rosenfeld. Local correspondence for detecting random forgeries. Proceedings of the International Conference on Document Analysis and Recognition, pages 319-323, 1997.
7. B. Horn. Robot vision. MIT Press, 1986.
8. T. Joachims. Text categorization with support vector machines: Learning with many relevant features. Proceedings of the European Conference on Machine Learning, pages 137-142, 1998.
9. M. K. Kalera, B. Zhang, and S. N. Srihari. Off-line signature verification and identification using distance statistics. Proceedings of the International Graphonomics Society Conference, Scottsdale, AZ, pages 228-232, November 2003.
10. S. Lee and J. C. Pan. Off-line tracing and representation of signatures. IEEE Transactions on Systems, Man and Cybernetics, 22:755-771, 1992.
11. C. C. Lin and R. Chellappa. Classification of partial 2-d shapes using fourier descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9:696-690, 1997.
12. M.E.Munich and P.Perona. Visual identification by signature tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2):200-217, February 2003.
13. E. Osuna, R. Freund, and F. Girosi. Support vector machines: training and applications. AI Memo 1602, Massachusetts Institute of Technology, 1997.
14. R. Plamondon and G. Lorette. On-line and off-line hand-writing recognition: A comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):63-84, January 2000.
15. R. Plamondon and S. N. Srihari. On-line and off-line handwriting recognition: A comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):63-84, January 2000.
16. R. Sabourin and R. Plamondon. Preprocessing of handwritten signatures from image gradient analysis. Proceedings of the 8th International Conference on Pattern Recognition, pages 576-579, 1986.
17. B. Scholkopf, C. J. Burges, and A. J. Smola. Advances in kernel methods. MIT Press, 1998.
18. B. Scholkopf, J. Platt, J. S. Taylor, A. J. Smola, and R. C. Williamson. Estimating the support of a high-dimensional distribution. Neural Computation, 13:1443-1472, 2001.
19. S. N. Srihari, S. Cha, H. Arora, and S. Lee. Individuality of handwriting. Journal of Forensic Sciences, 47(4):856-872, July 2002.
20. G. Srikantan, S. Lam, and S. Srihari. Gradient-based contour encoding for character recognition. Pattern Recognition, 7:1147-1160, 1996.
21. B. Zhang and S. N. Srihari. Analysis of handwriting individuality using handwritten words. Proceedings of the Seventh International Conference on Document Analysis and Recognition, Edinburgh, Scotland (Los Alamitos, CA: IEEE Computer Society Press), 2003.
22. B. Zhang and S. N. Srihari. Binary vector dissimilarity measures for handwriting identification. Proceedings of SPlE, Document Recognition and Retrieval, X: 155-166, 2003.