Sequence-matching-based feature extraction with applications to signature verification

Yan Chen; Xiaoqing Ding

doi:10.1117/12.586786

17 January 2005 Sequence-matching-based feature extraction with applications to signature verification

Yan Chen, Xiaoqing Ding

Proceedings Volume 5676, Document Recognition and Retrieval XII; (2005) https://doi.org/10.1117/12.586786
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Yan Chen and Xiaoqing Ding "Sequence-matching-based feature extraction with applications to signature verification", Proc. SPIE 5676, Document Recognition and Retrieval XII, (17 January 2005); https://doi.org/10.1117/12.586786

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available