关键词: 人脸识别, 自适应预处理, 主分量分析, 特征提取, Gabor滤波器

Abstract: The traditional pre-processing prior to feature extraction method can not be used for partial face image processing，can’t analyze a region of interest and subject to background environmental impact，this paper presents a face image adaptive pre-processing method.This method identifies the human eye position from the human face image by two-dimensional Gabor filter，and then extractes region of interest by image segmentation，zooms the image，uses Principal Component Analysis（PCA） method to complete feature extraction，and finally the classification is done by the smallest neighbor classification two-dimensional，so the process of face recognition is completed.Experimental results show that face recognition method based on adaptive pre-processing can remove the hair，neck，shoulder and face which has nothing to do with the part of the face.It also increases the rate of face recognition，and has good robustness on the translation，rotation，scale changes and expression.

Key words: face recognition, adaptive pre-processing, Principal Component Analysis（PCA）, feature extraction, Gabor filter