Face Detection using Brightness Distribution in the Surrounding Area of Eye


KIPS Transactions on Software and Data Engineering, Vol. 16, No. 6, pp. 443-450, Jun. 2009
10.3745/KIPSTB.2009.16.6.443, Full Text:

Abstract

This paper develops a novel technique of face detection using brightness distribution in the surrounding area of eye. The proposed face detection consists of facial component candidate extraction, facial component candidate filtering through eye-lip combination, left/right eye classification using brightness distribution, face verification confirming edges in nose region. Because the proposed technique don't use any skin color, it can detect multiple faces in color images with complicated backgrounds and different illumination levels. The experimental results reveal that the proposed technique is better than the traditional techniques in terms of detection ratio.


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Cite this article
[IEEE Style]
D. D. Hwang, J. C. Park and G. Y. Kim, "Face Detection using Brightness Distribution in the Surrounding Area of Eye," KIPS Journal B (2001 ~ 2012) , vol. 16, no. 6, pp. 443-450, 2009. DOI: 10.3745/KIPSTB.2009.16.6.443.

[ACM Style]
Dae Dong Hwang, Joo Chul Park, and Gye Young Kim. 2009. Face Detection using Brightness Distribution in the Surrounding Area of Eye. KIPS Journal B (2001 ~ 2012) , 16, 6, (2009), 443-450. DOI: 10.3745/KIPSTB.2009.16.6.443.