关键词: 表情识别, 特征提取, 二维主元分析, 双向二维加权主元分析

Abstract: In this paper，novel bilateral two-dimensional weighted principle component analysis is applied on facial feature extraction.Quantity of feature what extracted is small because image matrix’s dimension is reduced from plane and upright orientation.Considering the fact that the different face regions contain the different recognition information，and the different face regions are given the different weighted values.Experimental result shows this method is quicker and improves recognition rate than two-dimensional principle component analysis.

Key words: facial expression recognition, feature extraction, two-dimension principle component analysis, bilateral two-dimension weighted principle component analysis