• DocumentCode
    2060960
  • Title

    Average prototypes for stroke-based signature verification

  • Author

    Wirtz, Brigitte

  • Author_Institution
    Central Res. & Dev., Siemens AG, Munich, Germany
  • Volume
    1
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    268
  • Abstract
    A signature verification system basically consists of two units, the verification and the enrolment subsystem. Much work has been done developing verification techniques for dynamic signature verification whereas the influence of reference construction has not been extensively studied. The paper reports how the verification rates of a given system can be increased by ameliorating the enrolment technique. An efficient enrolment technique that performs a time- and position-based averaging of representative input signatures for a stroke-based verification approach is presented. The approach is capable of dealing with varying stroke structures, missing or additional strokes, and, in the presence of those, determines the most natural stroke structure of the reference in parallel with the construction of the average signature prototype. It is shown that, in comparison to the frequently used technique of selecting one signature out of an initial set of input signatures, the error rate especially of stroke-based approaches can be significantly reduced
  • Keywords
    edge detection; handwriting recognition; additional strokes; average prototypes; dynamic signature verification; enrolment subsystem; error rate; input signatures; missing strokes; natural stroke structure; position-based averaging; reference construction; representative input signatures; stroke-based signature verification; time-based averaging; varying stroke structures; verification rates; verification subsystem; Error analysis; Forgery; Handwriting recognition; Man machine systems; Pattern recognition; Prototypes; Psychology; Research and development; Stability; Testing;
  • 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.1997.619854
  • Filename
    619854