Distance and matching for authentication by on-line signature

Authentication by on-line handwritten signature is one of the most accepted authentication way, this is due to its easy use and to our cultural habits. In order to improve performances of the authentication process, we propose to take into account, on one part, the global temporal aspect and the efficiency of the writing of the signature and, on the other part, the signature variability of a person by using the only available information, the training signatures. To improve the robustness of the process we propose a method which consists of selecting the representative points in the signature. Curves comparison is based on dynamic time warping (DTW) in an original way. The different methods elaborated are tested on two databases of signatures and compared with the standard use of DTW. It shows the relevance of the improvements. All the modifications that we have presented will allow to obtain an improvement of more than 15%.

[1]  Marc Parizeau,et al.  Signature verification from position, velocity and acceleration signals: a comparative study , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[2]  W. Turin,et al.  On-line handwritten signature verification using hidden Markov model features , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[3]  Selection of points for on-line signature comparison , 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

[4]  Anil K. Jain,et al.  On-line signature verification, , 2002, Pattern Recognit..

[5]  V. S. Nalwa Automatic on-line signature verification , 1997 .

[6]  Berrin Yanikoglu,et al.  An improved decision criterion for genuine / forgery classification in on-line signature verification , 2003 .

[7]  Trevor Hastie,et al.  A model for signature verification , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

[8]  Sebastiano Impedovo,et al.  Analysis of stability in hand-written dynamic signatures , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[9]  M. Wirotius,et al.  Improving DTW for Online Handwritten Signature Verification , 2004, ICIAR.

[10]  Hong Yan,et al.  On-line signature verification based on dynamic segmentation and global and local matching , 1995 .

[11]  Sean R Eddy,et al.  What is dynamic programming? , 2004, Nature Biotechnology.