Eye and Face Detection Using SVM
Hyung-Keun Jee, Kyung Hee Lee, Sungbum Pan · 2005
In a real-time automatic face recognition system, accurate face detection plays a very important part in recognition performance. We use color, edge, and binary information to detect eye pair candidate regions from an input image, then extract the face candidate region with the detected eye pair. We verify both the eye pair candidate region and the 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 this verification process. Experimental results demonstrate that the proposed approach shows an excellent face detection performance of over 99.2%.