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inria-00103737, version 1

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

J. Coetzer () 1, B.M. Herbst () 1, J.A. Du Preez () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

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.

  • 1:  Department of Mathematical Sciences (DMS)
  • University of Stellenbosch
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Off-line signature verification – subjective test
  • Comment : http://www.suvisoft.com
 
  • inria-00103737, version 1
  • oai:hal.inria.fr:inria-00103737
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  • Submitted on: Thursday, 5 October 2006 11:15:58
  • Updated on: Thursday, 5 October 2006 11:19:36