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Proceedings Paper

Sequence-matching-based feature extraction with applications to signature verification
Author(s): Yan Chen; Xiaoqing Ding
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Paper 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.

Paper Details

Date Published: 17 January 2005
PDF: 8 pages
Proc. SPIE 5676, Document Recognition and Retrieval XII, (17 January 2005); doi: 10.1117/12.586786
Show Author Affiliations
Yan Chen, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5676:
Document Recognition and Retrieval XII
Elisa H. Barney Smith; Kazem Taghva, Editor(s)

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