Online Writer Verification Using Kanji Handwriting

  • Yoshikazu Nakamura
  • Masatsugu Kidode
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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  1. 1.
    Plamondon, R., Lorette, G.: Automatic signature verification and writer identification – the state of the art –. Pattern Recognition 22(2), 107–131 (1989)CrossRefGoogle Scholar
  2. 2.
    Leclerc, F., Plamondon, R.: Automatic signature verification: the state of the art – 1989-1993 –. International Pattern Recognition and Artificial Intelligence 8(3), 634–660 (1994)Google Scholar
  3. 3.
    Plamondon, R., Srihari, S.N.: On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey. IEEE Trans. on Pattern Analysis and Machine Intelligence 22(1), 63–84 (2000)CrossRefGoogle Scholar
  4. 4.
    Sato, Y., Kogure, K.: Online Signature Verification Based on Shape, Motion, and Writing Pressure. In: Proc. of 6th ICPR, pp. 823–826 (1982)Google Scholar
  5. 5.
    Hangai, S., Yamanaka, S., Hamamoto, T.: On-line Signature Verification Based on Altitude and Direction of Pen Movement. In: Proc. IEEE ICME, pp. 489–492 (2000)Google Scholar
  6. 6.
    Komiya, Y., Ohishi, T., Matsumoto, T.: A Pen Input On-Line Signature Verifier Integrating Position, Pressure and Inclination Trajectories. EICE Trans. Inf. & Syst. E84-D(7), 833–838 (2001)Google Scholar
  7. 7.
    Muramatsu, D., Matsumoto, T.: An HMM On-line Signature Verifier Incorporating Signature Trajectories. In: Proc. of 7th International Conference on Document Analysis and Recognition, vol. 1, pp. 438–442 (2003)Google Scholar
  8. 8.
    Srihari, S., Cha, S., Arora, H., Lee, S.: Individuality of Handwriting. Journal of Forensic Sciences 47(4), 1–17 (2002)Google Scholar
  9. 9.
    Zhang, B., Srihari, S., Lee, S.: Individuality of Handwritten Characters. In: Proc. of 7th International Conference on Document Analysis and Recognition, pp. 1086–1090 (2003)Google Scholar
  10. 10.
    Sutanto, P.J., Leedham, G., Pervouchine, V.: Study of the Consistency of Some Discriminatory Features Used by Document Examiners in the Analysis of Handwritten Letter ‘a’. In: Proc. of 7th International Conference on Document Analysis and Recognition, pp. 1091–1095 (2003)Google Scholar
  11. 11.
    Shekhawat, A., Parulekar, S., Srihari, S.: Individuality Studies for Online Handwriting. In: Proc. of the 11th Conference of the International Graphonomics Society (IGS 2003), pp. 266–269 (2003)Google Scholar
  12. 12.
    Nakamura, Y., Toyoda, J.: An Extraction of Individual Characteristics Based on Calligraphic Skills. IEICE Trans. DII J77-D-II(3), 510–518 (1994) (in Japanese)Google Scholar
  13. 13.
    Nakamura, Y., Kidode, M.: Individuality Analysis of Online Kanji Handwriting. In: Proc. of 8th International Conference on Document Analysis and Recognition, pp. 620–624 (2005)Google Scholar
  14. 14.
    Lee, L.L., Berger, T., Aviczer, E.: Reliable On-Line Human Signature Verification Systems. IEEE Trans. on Pattern Analysis and Machine Intelligence 18(6), 643–647 (1996)CrossRefGoogle Scholar
  15. 15.
    Yoshida, K.: Basis and Practice of Document Identification, Tachibana-shobo, Tokyo, Japan (1988) (in Japanese) Google Scholar
  16. 16.
    Takasawa, N.: Handwriting Identification (in Japanese). Reports of the National Research Institute of Police Science 51(2), 1–11 (1998) (in Japanese) Google Scholar

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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