An Off-line Signature Verification Using PCA and LDA


The KIPS Transactions:PartB , Vol. 11, No. 6, pp. 645-652, Oct. 2004
10.3745/KIPSTB.2004.11.6.645,   PDF Download:

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.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[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.