A Study on the Consistency of Features for On-Line Signature Verification

  • Hansheng Lei
  • Venu Govindaraju
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)


A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.


Decision Boundary Dynamic Time Warping Feature Distance Consistency Model Equal Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hansheng Lei
    • 1
  • Venu Govindaraju
    • 1
  1. 1.CUBS, Center for Unified Biometrics and SensorsState University of New York at BuffaloAmherstUSA

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