Statistical analysis of signature features with respect to applicability in off-line signature verification

Authors:
Bence Kovari;Hassan Charaf
Affiliations:
Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary;Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary
Venue:
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Year:
2010

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Abstract

Although the computerized verification of handwritten signatures has been extensively studied in the past three decades, the results on the field are still unsatisfactory. This paper provides a generic analytic approach for modeling different kinds of signature verification systems and estimating their performance limitations based on simple properties of the signature database, which is used to evaluate the system. Although our current approach concentrates only on skilled forgeries, it could be well extended to handle unskilled and random forgeries and thereby provide a model, which is applicable to current commercial signature verification systems.