An Off-line Signature Verification Using PCA and LDA 


Vol. 11,  No. 6, pp. 645-652, Oct.  2004
10.3745/KIPSTB.2004.11.6.645


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  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.

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[IEEE Style]

S. Y. Ryu, D. J. Lee, H. J. Go, M. G. Chun, "An Off-line Signature Verification Using PCA and LDA," The KIPS Transactions:PartB , vol. 11, no. 6, pp. 645-652, 2004. DOI: 10.3745/KIPSTB.2004.11.6.645.

[ACM Style]

Sang Yeun Ryu, Dae Jong Lee, Hyoun Joo Go, and Myung Geun Chun. 2004. An Off-line Signature Verification Using PCA and LDA. The KIPS Transactions:PartB , 11, 6, (2004), 645-652. DOI: 10.3745/KIPSTB.2004.11.6.645.

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