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On-Line Signature Verification Using Hidden Markov Models with Number of States Estimation from the Signature Duration

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2 Author(s)
Pascual-Gaspar, J.M. ; Univ. Eur. Miguel de Cervantes, Valladolid ; Cardenoso-Payo, V.

In this paper we present a novel HMM-based automatic signature verification system where the number of states is estimated from the duration of the signatures. This structural user-dependent approach has allowed to obtain high verification rates with a small number of enrolment samples and using only the two basic local x-y geometric features plus their first time derivatives. The proposed system has been tested with the MCYT database reporting EERs of 2.09% with random forgeries and 6.14% with skilled forgeries using only three signatures for enrolment.

Published in:

Biometrics Symposium, 2007

Date of Conference:

11-13 Sept. 2007

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