• DocumentCode
    2175263
  • Title

    On-line signature verification: discrimination emphasised

  • Author

    Martens, Ronny ; Claesen, Luc

  • Author_Institution
    IMEC, Leuven, Belgium
  • Volume
    2
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    657
  • Abstract
    The paper presents an online signature verification system, based on 3D force patterns and pen inclination angles, as recorded during signing. The feature extraction mechanism is based on the well known elastic matching technique. In contradiction to previous work in the same area however, we emphasise the importance of the final step in the process: the discrimination based on the extracted features. We show that by choosing the right discrimination approach we are able to improve the quality of the entire verification process drastically. The techniques we compare for discrimination, however, are not specific to signature verification, but should be considered carefully in every process where a classification decision is made from a set of parameters
  • Keywords
    feature extraction; handwriting recognition; image classification; optical character recognition; statistical analysis; 3D force patterns; classification decision; discrimination approach; elastic matching technique; feature extraction mechanism; online signature verification system; pen inclination angles; verification process; Acceleration; Artificial neural networks; Bandwidth; Biometrics; Feature extraction; Handwriting recognition; Low pass filters; Neural networks; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.620588
  • Filename
    620588