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http://dx.doi.org/10.3745/KIPSTB.2004.11B.6.645

An Off-line Signature Verification Using PCA and LDA  

Ryu Sang-Yeun (에이엘티-세미콘㈜)
Lee Dae-Jong (충북대학교 컴퓨터정보통신연구소)
Go Hyoun-Joo (충북대학교 대학원 제어계측공학과)
Chun Myung-Geun (충북대학교 전기전자 컴퓨터공학부)
Publication Information
The KIPS Transactions:PartB / v.11B, no.6, 2004 , pp. 645-652 More about this Journal
Abstract
Among the biometrics, signature shows more larger variation than the other biometrics such as fingerprint and iris. In order to overcome this problem, we propose a robust offline signature verification method based on PCA and LDA. Signature is projected to vertical and horizontal axes by new grid partition method. And then feature extraction and decision is performed by PCA and LDA. Experimental results show that the proposed offline signature verification has lower False Reject Rate(FRR) and False Acceptance Rate(FAR) which are 1.45% and 2.1%, respectively.
Keywords
Off-Line Signature Verification; PCA; LDA;
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