Abstract
This paper presents an Off-line Signature Verification System for the elimination of random forgeries. Compared with the proposed systems thus far, our system is trained with genuine signatures only. This eliminates many of the problems existent in the current systems. The proposed system is evaluated with a data base of 200 signatures.
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© 1995 Springer-Verlag Berlin Heidelberg
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Murshed, N.A., Bortolozzi, F., Sabourin, R. (1995). Off-line signature verification without requiring random forgeries for training. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_93
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DOI: https://doi.org/10.1007/3-540-60697-1_93
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