Camera-based ID verification by signature tracking

  • Mario E. Munich
  • Pietro Perona
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1406)


A number of vision-based biometric techniques have been proposed in the past for personal identification. We present a novel one based on visual capturing of signatures. This paper describes a system based on correlation and recursive prediction methods that can track the tip of the pen in real time, with sufficient spatio-temporal resolution and accuracy to enable signature verification. Several examples and the performance of the system are shown.


Dynamic Time Warping Visual Tracker Equal Error Rate Warping Function False Acceptance 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 1998

Authors and Affiliations

  • Mario E. Munich
    • 1
  • Pietro Perona
    • 1
    • 2
  1. 1.California Institute of Technology136-93 Pasadena
  2. 2.Università di PadovaItalia

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