Online Writer Verification Using Kanji Handwriting

  • Yoshikazu Nakamura
  • Masatsugu Kidode
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)


This paper investigates writer verification using handwritten kanji characters on a digitizing tablet. Features representing individuality, which are derived from the knowledge of document examiners, are automatically extracted and then the features effective in writer verification are selected from the extracted features. Two classifiers based on frequency distribution of deviations of the selected features are proposed and evaluated by verification experiments. The experimental results show that the proposal methods are effective in writer verification.


False Acceptance Rate False Rejection Rate Signature Verification Online Signature Kanji Character 
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 2006

Authors and Affiliations

  • Yoshikazu Nakamura
    • 1
    • 2
  • Masatsugu Kidode
    • 2
  1. 1.Nara National College of TechnologyNaraJapan
  2. 2.Graduate School of Information Science, Nara Institute of Science and TechnologyNaraJapan

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