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On-line signature verification using improved segmentation

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4 Author(s)
Mingfu Zou ; Inst. of Autom., Chinese Acad. of Sci., Beijing, China ; Jianjun Tong ; Zhengliang Lou ; Changping Liu

This paper describes on-line signature verification using a HMM (hidden Markov model). The system is based on combining local time-based and shape-based comparison between the input signature and the reference model. We proposed a novel initialization algorithm to avoid the local optimal of the HMM's re-estimation. To get reliable segmentation using the HMM, we adopt a meliorated HMM re-estimation algorithm during training. In addition, we use a novel algorithm to avoid losing important information at the cusps in preprocessing. Tests based on databases and real cases reveal the feasibility of the proposed method.

Published in:

Systems, Man and Cybernetics, 2003. IEEE International Conference on  (Volume:1 )

Date of Conference:

5-8 Oct. 2003