关键词: Gabor滤波器, 支持向量机, 人脸检测

Abstract: Abstract: Face detection is an important task in face recognition and content-based image and video retrieval. A method of frontal face detection based-on feature extract using Gabor filter features and support vector machines is proposed in this paper. Take advantages of the desirable characteristics of spatial locality and orientation selectivity of Gabor filters, the paper designs four filters corresponding to four orientation for extracting features from face images. After extracting the features, a reduced feature subspace is learned by principal component analysis. The feature vectors based on Gabor filers is used as the input of support vector machines to be trained and classified. A test image is detected by the trained support vector machines. The experiment results show the method can effectively detect face

Key words: Gabor filter, support vector machines, face detection