Online Signature Verification Based on Global Feature of Writing Forces

  • ZhongCheng Wu
  • Ping Fang
  • Fei Shen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


Writing forces are important dynamics of online signatures and it is harder to be imitated by forgers than signature shapes. An improved DTW (Dynamic Time Warping) algorithm is put forward to verify online signatures based on writing forces. Compared to the general DTW algorithm, this one deals with the varying consistency of signature point, signing duration and the different weights of writing forces in different direction. The iterative experiment is introduced to decide weights for writing forces in different direction and the classification threshold. A signature database is constructed with F_Tablet and the experiments results are present in the end.


Dynamic Time Warping Signing Duration Signature Database Signature Verification Iterative Experiment 
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.


  1. 1.
    Crane, H.D., Ostrem, J.S.: Automatic Signature Verification Using a Three-Axis Force-Sensitive Pen. IEEE Transactions on Systems, Man, and Cybernetics 3, 329–333 (1983)Google Scholar
  2. 2.
    Martens, R., Claesen, L.: Incorporating local consistency information into the online signature verification process. International Journal on Document Analysis and Recognition 1, 110–115 (1998)CrossRefGoogle Scholar
  3. 3.
    Tanabe, K., Yoshihara, M., Kameya, S., et al.: Automatic signature verification based on the dynamic feature of pressure. In: Proceedings of Sixth International Conference on Document Analysis and Recognition, vol. 1, pp. 1045–1049 (2001)Google Scholar
  4. 4.
    Sakamoto, D., Morita, H., Ohishi, T., Komiya, Y., Matsumoto, T.: On-line signature veri-fication algorithm incorporating pen position, pen pressure and pen inclination trajectories. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, pp. 993–996 (2001)Google Scholar
  5. 5.
    Shimizu, H., Kiyono, S., Motoki, T., Gao, W.: An electrical pen for signature verification using a two-dimensional optical angle sensor. Sensors and Actuators 111, 216–221 (2004)CrossRefGoogle Scholar
  6. 6.
    Ping, F., Zhong, C.W., Ming, M., et al.: A Novel Tablet for On-Line Handwriting Signal Capture. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, vol. 6, pp. 3714–3717 (2004)Google Scholar
  7. 7.
    Sheng, C.L., Xiao, Q.D., Yan, C.: On line signature verification based on weighted dynamic programming matching. Journal of Tsinghua University 39(9), 61–64 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • ZhongCheng Wu
    • 1
  • Ping Fang
    • 1
    • 2
  • Fei Shen
    • 1
    • 2
  1. 1.Institute of Intelligent MachineChinese Academy of ScienceHefeiChina
  2. 2.Department of AutomationUniversity of Science & Technology of ChinaHefeiChina

Personalised recommendations