Synonyms
Signature similarity computation
Definition
The objective of signature matching techniques is to compute the similarity between a given signature and a signature model or reference signature set. Several pattern recognition techniques have been proposed as matching algorithms for signature recognition. In online signature verification systems, signature matching algorithms have followed two main approaches. Feature-based algorithms usually compute the similarity among multidimensional feature vectors extracted from the signature data with statistical classification techniques. On the other hand, function-based algorithms perform matching by computing the distance among time sequences extracted from the signature data with technique such as hidden Markov models and dynamic time warping. Off-line signature matching has followed many different approaches, most of which are related to image processing and shape recognition.
This entry focuses on online signature matching, although...
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References
W. Nelson, W. Turin, T. Hastie, Statistical methods for on-line signature verification. Int. J. Pattern Recogn. Artif. Intell. 8(3), 749–770 (1994)
L.L. Lee, T. Berger, E. Aviczer, Reliable on-line human signature verification systems. IEEE Trans. Pattern Anal. Mach. Intell. 18(6), 643–647 (1996)
M. Martinez-Diaz, J. Fierrez, J. Ortega-Garcia, Universal background models for dynamic signature verification, in Proceedings IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS, Washington, DC, 2007, pp. 1–6
J. Fierrez-Aguilar, L. Nanni, J. Lopez-Penalba, J. Ortega-Garcia, D. Maltoni, An on-line signature verification system based on fusion of local and global information, in Proceedings of IAPR International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Hilton Rye Town. LNCS, vol. 3546 (Springer, 2005), pp. 523–532
Y. Sato, K. Kogure, Online signature verification based on shape, motion and writing pressure, in Proceedings of sixth International Conference on Pattern Recognition, Munich, 1982, pp. 823–826
R. Martens, L. Claesen, Dynamic programming optimisation for on-line signature verification, in Proceedings fourth International Conference on Document Analysis and Recognition, ICDAR, Ulm, vol. 2, 1997, pp. 653–656
A. Kholmatov, B. Yanikoglu, Identity authentication using improved online signature verification method. Pattern Recogn. Lett. 26(15), 2400–2408 (2005)
J. Fierrez, D. Ramos-Castro, J. Ortega-Garcia, J. Gonzalez-Rodriguez, HMM-based on-line signature verification: feature extraction and signature modeling. Pattern Recogn. Lett. 28(16), 2325–2334 (2007)
J.G.A. Dolfing, E.H.L. Aarts, J.J.G.M. van Oosterhout, On-line signature verification with hidden Markov models, in Proceedings of the International Conference on Pattern Recognition, ICPR, Brisbane (IEEE CS Press 1998), pp. 1309–1312
B.L. Van, S. Garcia-Salicetti, B. Dorizzi, On using the Viterbi path along with HMM likelihood information for online signature verification. IEEE Trans. Syst. Man Cybern. B 37(5), 1237–1247 (2007)
L. Yang, B.K. Widjaja, R. Prasad, Application of hidden Markov models for signature verification. Pattern Recogn. 28(2), 161–170 (1995)
H. Sakoe, S. Chiba, Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. 26, 43–49 (1978)
L.R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257–286 (1989)
J. Richiardi, A. Drygajlo, Gaussian mixture models for on-line signature verification, in Proceedings of ACM SIGMM Workshop on Biometric Methods and Applications, WBMA, Berkeley, 2003, pp. 115–122
D. Impedovo, G. Pirlo, Automatic signature verification: the state of the art. IEEE Trans. Syst. Man. Cybern. C Appl. Rev. 38(5), 609–635 (2008)
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Martinez-Diaz, M., Fierrez, J., Hangai, S. (2015). Signature Matching. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_140
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