Skip to main content

Improved DTW Algorithm for Online Signature Verification Based on Writing Forces

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3644))

Abstract

Writing forces are important dynamics of online signatures and they are harder to be imitated by forgers than signature shape. 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 dexperiment 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 equal error rate of 1.4% is realized with the improved algorithm.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Plamondon, R., Lorette, G.: Automatic Signature Verification and Writer Identification: The state of the art. Pattern Recognition 22(2), 107–131 (1989)

    Article  Google Scholar 

  2. Leclerc, F., Plamondon, R.: Automatic Signature Verification: The state of the art 1989-1993. IJPRAI 8(3), 643–660 (1994)

    Google Scholar 

  3. Nalwa, V.S.: Automatic On-Line Signature Verification. Proceedings of the IEEE 85, 215–239 (1997)

    Article  Google Scholar 

  4. 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 

  5. 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)

    Article  Google Scholar 

  6. 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 

  7. Sakamoto, D., Morita, H., Ohishi, T., et al.: On-Line Signature Verification 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 

  8. Shimizu, H., Kiyono, S., Motoki, T., et al.: An Electrical Pen for Signature Verification Using a Two-Dimensional Optical Angle Sensor. Sensors and Actuators 111, 216–221 (2004)

    Article  Google Scholar 

  9. 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 

  10. 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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fang, P., Wu, Z., Shen, F., Ge, Y., Fang, B. (2005). Improved DTW Algorithm for Online Signature Verification Based on Writing Forces. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_66

Download citation

  • DOI: https://doi.org/10.1007/11538059_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28226-6

  • Online ISBN: 978-3-540-31902-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics