Multi-modal Biometrics System Based on Face and Signature by SVM Decision Rule


The KIPS Transactions:PartB , Vol. 11, No. 7, pp. 885-892, Dec. 2004
10.3745/KIPSTB.2004.11.7.885,   PDF Download:

Abstract

In this paper, we propose a multi-modal biometrics system based on face and signature recognition system. Here, the face recognition system is designed by fuzzy LDA, and the signature recognition system is implemented with the LDA and segment matching methods. To effectively aggregate two systems, we obtain statistical distribution models based on matching values for genuine and impostor, respectively. And then, the final verification is perfomed by the support vector machine. From the various experiments, we find that the proposed method shows high recognition rates comparing with the conventional methods.


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Cite this article
[IEEE Style]
J. O. Min, D. J. Lee, M. G. Chun, "Multi-modal Biometrics System Based on Face and Signature by SVM Decision Rule," The KIPS Transactions:PartB , vol. 11, no. 7, pp. 885-892, 2004. DOI: 10.3745/KIPSTB.2004.11.7.885.

[ACM Style]
Jun Oh Min, Dae Jong Lee, and Myung Geun Chun. 2004. Multi-modal Biometrics System Based on Face and Signature by SVM Decision Rule. The KIPS Transactions:PartB , 11, 7, (2004), 885-892. DOI: 10.3745/KIPSTB.2004.11.7.885.