On-line signature verification using local shape analysis

This paper presents a novel approach to the on-line signature verification using local shape analysis. First, segment the input signature into several segments using HMM (hidden Markov model). Then, combine two adjacent segments to form a long segment and get its spectral and tremor information using FFT (fast Fourier transformation). At last, accept it or reject it based on the similarity between the spectral and its prototype. In addition, we proposed a novel initialization algorithm to avoid the local optimal of the HMM's re-estimation and a novel algorithm to avoid losing the important information at cusps in preprocessing. Combining the local shape analysis with the local time-based comparison, we get promising experimental results.

[1]  Toby Berger,et al.  Reliable On-Line Human Signature Verification Systems , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  W. S. Wijesoma,et al.  An automatic on-line signature verification system based on three models , 2000, 2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492).

[3]  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.

[4]  Alex Acero,et al.  Spoken Language Processing: A Guide to Theory, Algorithm and System Development , 2001 .

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

[6]  Emile H. L. Aarts,et al.  On-line signature verification with hidden Markov models , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[7]  Proceedings Seventh International Conference on Document Analysis and Recognition , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[8]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  A. Kosmala,et al.  A SYSTEMATIC COMPARISON OF ADVANCED MODELING TECHNIQUES FOR VERY LARGE VOCABULARY ON-LINE CURSIVE HANDWRITING RECOGNITION , 1999 .

[10]  Jinho Kim,et al.  On-line signature verification using model-guided segmentation and discriminative feature selection for skilled forgeries , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[11]  Tetsu Ohishi,et al.  Online signature verification using pen-position, pen-pressure and pen-inclination trajectories , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[12]  W. Sardha Wijesoma,et al.  Improved segmentation and segment association for on-line signature verification , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.