Off-Line Signature Verification: A Comparison between Human and Machine Performance

Abstract : When a large number of documents, e.g. bank cheques, have to be authenticated in a limited time, the manual verification of, say the authors' signatures, is often unrealistic. This led to the development of a wide range of automatic off-line signature verification systems. However, the value of such a system is rarely demonstrated by conducting a subjective test. We recently developed a novel off-line signature verification system [2, 3] that uses features that are based on the calculation of the Radon transform (RT) of a signature image. Each writer's signature is subsequently represented by a hidden Markov model (HMM). This paper is an extension of [3] and illustrates the value of our system by showing that it outperforms a typical human being. We conduct an experiment on a data set that contains 765 test signatures (432 genuine signatures and 333 skilled forgeries) from 51 writers.
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Soumis le : jeudi 5 octobre 2006 - 11:15:58
Dernière modification le : jeudi 5 octobre 2006 - 11:19:36
Document(s) archivé(s) le : mardi 6 avril 2010 - 18:22:10

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  • HAL Id : inria-00103737, version 1

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J. Coetzer, B.M. Herbst, J.A. Du Preez. Off-Line Signature Verification: A Comparison between Human and Machine Performance. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00103737〉

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