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http://dx.doi.org/10.3745/KIPSTB.2004.11B.1.013

Performance Improvement Method of Face Detection Using SVM  

Jee, Hyung-Keun (한국전자통신연구원 정보보호연구단 생체인식기술연구팀)
Lee, Kyung-Hee (한국전자통신연구원 정보보호연구단 생체인식기술연구팀)
Chung, Yong-Wha (고려대학교 컴퓨터정보학과)
Publication Information
The KIPS Transactions:PartB / v.11B, no.1, 2004 , pp. 13-20 More about this Journal
Abstract
In the real-time automatic face recognition technique, accurate face detection is essential and very important part because it has the effect to face recognition performance. In this paper, we use color information, edge 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 candidate 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 algorithm in this paper shows excellent face detection rate over 99%.
Keywords
Support Vector Machines; Eye Detection; Face Detection;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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