Off-line signature verification and forgery detection system based on fuzzy modeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2903, Issue , 2003, Pages 1003-1013

  Madasu, Vamsi Krishna ^a   Yusof, Mohd Hafizuddin Mohd ^b   Hanmandlu, Madasu ^c   Kubik, Kurt ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b MULTIMEDIA UNIVERSITY   (Malaysia)

^c INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Box method; Forgery detection; Fuzzy modeling; Signature verification

Indexed keywords

FUZZY SETS; APPROXIMATION THEORY; FUNCTIONS; SOCIAL ASPECTS; VECTORS;

BOX-METHOD; DENSITY APPROXIMATIONS; FORGERY DETECTIONS; FUZZY MODELING; INNOVATIVE APPROACHES; OFF-LINE SIGNATURE VERIFICATION; SIGNATURE VERIFICATION; VERIFICATION SYSTEMS;

ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION;

BOX-METHOD; FORGERY DETECTION; FUZZY MODELING; SIGNATURE VERIFICATION;

EID: 7444267999     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24581-0_86     Document Type: Conference Paper

References (14)

1. Plamondon, R., Leclerc, F., Automatic signature verification: the state of the art 1989-1993. International Journal of Pattern Recognition and Artificial Intelligence. 8 (1994) 643-660.
2. Plamondon, R., Lorette, G., Automatic signature verification and writer identification: the state of the art. Pattern Recognition. 22 (1989) 107-131.
3. Sabourin, R., Plamondon, R., Lorette, G., Off-line identification with handwritten signature images: Survey and Perspectives. In: Structured Image Analysis, Springer-Verlag, New York (1992) 219-234.
4. Plamondon, R., Srihari, S.N., On-line and off-line Handwriting Recognition: A Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (2000) 63-84.
5. Ismail, M.A., Gad, S., Off-line Arabic signature recognition and verification. Pattern Recognition. 33 (2000) 1727-1740.
6. Z El-Yacoubi, Justino, E.J.R., Sabourin, R., Bortolozzi, F., Off-line signature verification using HMMS and cross-validation. In: Proceedings of the IEEE Workshop on Neural Networks for Signal Processing (2000) 859-868.
7. Quek, C., Zhou, R.W., Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system. Pattern Recognition Letters. 23 (2002) 1795-1816.
8. Hanmandlu, M., Mohan, K.R.M., Chakraborty, S., Goel, S., Choudhury, D.R., Unconstrained handwritten character recognition based on fuzzy logic. Pattern Recognition. 36 (2003) 603-623.
9. Hanmandlu, M., Mohan, K.R.M., Chakraborty, S., Garg, G., Fuzzy modeling based signature verification system. In: Proceedings of the sixth International Conference on Document Analysis and Recognition (2001) 110-114.
10. Ammar, M., Yoshida, Y., Fukumura, T., A new effective approach for off-line verification of signatures by using pressure features. In: Proceedings of the International Conference on Pattern recognition (1986) 566-569.
11. Ammar, M., Progress in verification of skillfully simulated handwritten signatures. International Journal of Pattern Recognition and Artificial Intelligence. 5 (1991) 337-351.
12. Guo, J.K., Doermann, D., Rosenfeld, A., Off-line skilled forgery detection using stroke and sub-stroke properties. In: Proceedings of the International Conference on Pattern Recognition (2000) 355-358.
13. Hanmandlu, M., Mohan, K.R.M., Gupta, V., Fuzzy logic based character recognition. In: Proceedings of the IEEE Conference on Image Processing (1997) 1714-717.
14. Xuhua, Y., Furuhashi, T., Obata, K., Uchikawa, Y., Study on signature verification using a new approach to genetic based machine learning. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (1995) 4383-4386.