Real - Time Automatic Human Face Detection and Recognition System Using Skin Colors of Face , Face Feature Vectors and Facial Angle Informations 


Vol. 9,  No. 4, pp. 491-500, Aug.  2002
10.3745/KIPSTB.2002.9.4.491


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  Abstract

In this paper, we propose a real-time face detection and recognition system by using skin color informations, geometrical feature vectors of face, and facial angle informations from color face image. The proposed algorithm improved face region extraction efficiency by using skin color informations on the HSI color coordinate and face edge information. And also, it improved face recognition efficiency by using geometrical feature vectors of face and facial angles from the extracted face region image. In the experiment, the proposed algorithm shows more improved recognition efficiency as well as face region extraction efficiency than conventional methods.

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[IEEE Style]

Y. I. Kim and E. J. Lee, "Real - Time Automatic Human Face Detection and Recognition System Using Skin Colors of Face , Face Feature Vectors and Facial Angle Informations," The KIPS Transactions:PartB , vol. 9, no. 4, pp. 491-500, 2002. DOI: 10.3745/KIPSTB.2002.9.4.491.

[ACM Style]

Young Il Kim and Eung Joo Lee. 2002. Real - Time Automatic Human Face Detection and Recognition System Using Skin Colors of Face , Face Feature Vectors and Facial Angle Informations. The KIPS Transactions:PartB , 9, 4, (2002), 491-500. DOI: 10.3745/KIPSTB.2002.9.4.491.

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