Performance Improvement Method of Face Detection Using SVM


The KIPS Transactions:PartB , Vol. 11, No. 1, pp. 13-20, Feb. 2004
10.3745/KIPSTB.2004.11.1.13,   PDF Download:

Abstract

In the real-time automatic face recognition technique, accurate face detection is essential and very important part bacause it ahd the effect to face recognition performance. In this paer, we use color information, dege information, and binary information to detect candidate regions of eyes from input image, and then detect face candidate region using the center point of the detected eyes. We verify both eye candidate region and face cadidate region using Support Vector Machines(SVM). It is possible to perform fast and reliable face detection because we can protect false detection through these verification process. From the experimental results, we confirmed the proposed algoruthm in this paper shows excellent face detection rate over 99%.


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Cite this article
[IEEE Style]
J. H. Geun, L. G. Hui, J. Y. Hwa, "Performance Improvement Method of Face Detection Using SVM," The KIPS Transactions:PartB , vol. 11, no. 1, pp. 13-20, 2004. DOI: 10.3745/KIPSTB.2004.11.1.13.

[ACM Style]
Ji Hyeong Geun, Lee Gyeong Hui, and Jeong Yong Hwa. 2004. Performance Improvement Method of Face Detection Using SVM. The KIPS Transactions:PartB , 11, 1, (2004), 13-20. DOI: 10.3745/KIPSTB.2004.11.1.13.