17 January 2005 Sequence-matching-based feature extraction with applications to signature verification
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Abstract
A new sequence matching based feature extracting method is proposed in this paper, and the method is applied to on-line signature verification. The signature is first extracted as a point sequence in writing order. Then the sequence is matched with a model sequence that is extracted from the model signature, utilizing a modified DTW matching criterion. Based on the matching result, the sequence is divided into a fixed number of segments. Local shape features are extracted from each segment, making use of the direction and length information. Experiments show that this new feature extracting method is more discriminative than other commonly used feature extracting method. When applied to an on-line signature verification system, current feature extracting method shows benefit in verifying users with large variations in their genuine signatures.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Chen, Yan Chen, Xiaoqing Ding, Xiaoqing Ding, } "Sequence-matching-based feature extraction with applications to signature verification", Proc. SPIE 5676, Document Recognition and Retrieval XII, (17 January 2005); doi: 10.1117/12.586786; https://doi.org/10.1117/12.586786
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