Abstract
This paper presents a new approach for off-line signature verification. Signature verification is performed by matching only well-selected regions of the signature images. More precisely, from the analysis of lower and upper contours of a signature image, region stability is estimated and the most stable regions are selected for verification, during the enrollment phase. In the verification phase, an unknown specimen is verified through the analysis of the selected regions, on the basis of a well-defined similarity measure. The experimental results, carried out on signatures from the GPDS database, demonstrate the potential of the proposed approach.
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References
Plamondon, R., Lorette, G.: Automatic Signature Verification and Writer Identification – The State of the Art. Pattern Recognition 22(2), 107–131 (1989)
Leclerc, F., Plamondon, R.: Automatic Signature Verification: The State of the Art – 1989 1993. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) 8(3), 643–660 (1994); In: Plamondon, R. (ed.): Special Issue on Progress in Automatic Signature Verification. MPAI. World Scientific, Singapore (1994)
Impedovo, D., Pirlo, G.: Automatic Signature Verification – The State of the Art. IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Review 38(5), 609–635 (2008)
Plamondon, R., Srihari, S.N.: On line and Off line Handwriting Recognition: A Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 22(1), 63–84 (2000)
Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R., Pirlo, G.: Recent Advancements in Automatic Signature Verification. In: 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), Kichijoji, pp. 179–184, October 25-29 (2004)
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 (IJPRAI) 11(5), 827–844 (1997)
Yoshimura, M., Yoshimura, I.: Investigation of a verification system for Japanese countersignatures on traveler’s checks. Transactions of the IEICE J80 D II(7), 1764–1773 (1997)
Lee, L.L., Lizarraga, M.G., Gomes, N.R., Koerich, A.L.: A prototype for Brazilian bankcheck recognition. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) 11(4), 549–569 (1997)
Ferrer, M.A., Alonso, J.B., Travieso, C.M.: Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic. IEEE Trans. on Pattern Analysis Machine Intelligence 27(6), 993–997 (2005)
Nouboud, F.: Handwritten signature verification: a global approach. In: Impedovo, S. (ed.) Fundamentals in Handwriting Recognition, pp. 455–459. Springer, Berlin (1994)
Ramesh, V.E., Narasimha Murty, M.: Off-line signature verification using genetically optimized weighted features. Pattern Recognition 32(2), 217–233 (1999)
Bajaj, R., Chaudhury, S.: Signature Verification Using Multiple Neural Classifiers. Pattern Recognition 30(1), 1–7 (1997)
Congedo, G., Dimauro, G., Forte, A.M., Impedovo, S., Pirlo, G.: Selecting Reference Signatures for On Line Signature Verification. In: Braccini, C., Vernazza, G., DeFloriani, L. (eds.) ICIAP 1995. LNCS, vol. 974, pp. 521–526. Springer, Heidelberg (1995)
Di Lecce, V., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A., Sarcinella, L.: Selection of Reference Signatures for Automatic Signature Verification. In: 5th International Conference on Document Analysis and Recognition (ICDAR-5), Bangalore, India, pp. 597–600, September 20-22 (1999)
Vargas, J.F., Ferrer, M.A., Travieso, C.M., Alonso, J.B.: Off-line Handwritten Signature GPDS-960 Corpus. In: Proc. 9th Int. Conf. on Document Analysis and Recognition (ICDAR), vol. 2, pp. 764–768, September 23-26 (2007)
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Pirlo, G., Impedovo, D., Stasolla, E., Trullo, C.A. (2009). Learning Local Correspondences for Static Signature Verification. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_39
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DOI: https://doi.org/10.1007/978-3-642-10291-2_39
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