Signature verification: Increasing performance by a multi-stage system

Pattern Analysis and Applications

Volumn 3, Issue 2, 2000, Pages 169-181

  Sansone, Carlo ^a   Vento, Mario ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Classification; Document validation; Multi expert systems; Reject option; Reliability; Serial combination; Signature verification

Indexed keywords

EID: 0034347189     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s100440070021     Document Type: Article

References (22)

1. Cardot H, Revenu M, Victorri B, Revillet MJ. A static signature verification system based on a cooperative neural network architecture. International Journal of Pattern Recognition and Artificial Intelligence 1994; 8(3):679-692
2. Plamondon R, Lorette G. Automatic signature verification and writer identification - the state of the art. Pattern Recognition 1989; 22(2):107-131
3. Plamondon R, Leclerc F. Automatic signature verification: the state of the art 1989-1993. International Journal of Pattern Recognition and Artificial Intelligence 1994; 8(3):643-660
4. Bajaj R, Chaudhury S. Signature verification using multiple neural classifiers. Pattern Recognition 1997; 30(1):1-7
5. Dimauro G, Impedovo S, Pirlo G, Salzo A. A multi-expert signature verification system for bankcheck processing. International Journal of Pattern Recognition and Artificial Intelligence 1997; 11(5):827-844
6. Huang K, Yan H. Off-line signature verification hased on geometric feature extraction and neural network classification. Pattern Recognition 1997; 30(1):9-17
7. Lee LL, Lizarraga MG, Gomes NR, Koerich AL. A prototype for Brazilian bankcheck recognition. International Journal of Pattern Recognition and Artificial Intelligence 1997; 11(4): 549-569
8. Burr DJ. Experiments on Neural Net Recognition of Spoken and Written Text. IEEE Transactions on ASSP 1988; 36(7): 1162-1168
9. Sabourin R, Cheriet M, Genest G. An extended-shadow-code based approach for off-line signature verification. Proceedings of the Second International Conference on Document Analysis and Recognition, IEEE Press, 1993: 1-5
10. Drouhard JP, Sabourin R, Godbout M. A neural network approach to off-line signature verification using directional PDF. Pattern Recognition 1996; 29(3):415-424
11. Ammar M. Progress in verification of skillfully simulated handwritten signatures. International Journal of Pattern Recognition and Artificial Intelligence 1991; 5(1-2):337-351
12. Murshed NA, Sabourin R, Bortolozzi F. A cognitive approach to off-line signature verification. International Journal of Pattern Recognition and Artificial Intelligence 1997; 11(5):801-825
13. Qi Y, Hunt BR. Signature verification using global and grid features. Pattern Recognition 1994; 27(12):1621-1629
14. Suen CY, Nadal C, Legault R, Mai TA, Lam L. Computer Recognition of Unconstrained Handwritten Numeral. Proceedings of the IEEE 1992; 80(7):1162-1180
15. Rahman AFR, Fairhurst MC. An Evaluation of Multi-Expert Configurations for the Recognition of Handwritten Numerals. Pattern Recognition 1998; 31(9):1255-1273
16. Kittler J. Combining Classifiers: A Theoretical Framework. Pattern Analysis and Applications 1999; 1(1):18-27
17. Cordella LP, Foggia P, Sansone C, Tortorella F, Vento M. Reliability parameters to improve combination strategies in multi-expert systems. Pattern Analysis and Applications 1999; 2(3):205-214
18. Qi Y, Hunt BR. A multitesolution approach to computer verification of handwritten signatures. IEEE Transactions on Image Processing 1995; 4(6):870-874
19. Cordella LP, Sansone C, Tortorella F, Vento M, De Stefano C. Neural Networks Classification Reliability. In: Leondes CT (ed), Academic Press Theme Volumes on Neural Network Systems, Techniques and Applications. Academic Press 1998; 5:161-199
20. Fukunaga K. Introduction to Statistical Pattern Recognition, 2nd Ed. Academic Press, 1990
21. Guyon I, Makhoul J, Schwartz R, Vapnik V. What Size Test Set Gives Good Error Rate Estimation? IEEE Transactions on PatternAnalysis and Machine Intelligence 1998; 20(1):52-63
22. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 1979; 9(1):62-66