Development of a Sigma-Lognormal representation for on-line signatures
Pattern Recognition
On-line signature authentication using Zernike moments
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
An approach for on-line signature authentication using Zernike moments
Pattern Recognition Letters
Universal forgery features idea: a solution for user---adjusted threshold in signature verification
Transactions on Computational Collective Intelligence IX
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In this paper, we present a method of representing on-line signatures by interval valued symbolic features. Global features of on-line signatures are used to form an interval valued feature vector for representing signatures. A method of signature verification based on symbolic representation is proposed. We investigate the feasibility of the proposed representation scheme for signature verification on a large MCYT_signature database. Unlike other signature verification methods, the proposed method is simple and efficient. Several experiments are conducted to demonstrate the ability of the proposed scheme in discriminating the genuine signatures from the forgeries. Keywords: Symbolic features; Eigen values; Eigen vectors; On-line signature verification.