关键词: 人脸识别, 主成分分析, 全局特征, 局部特征, Fisher线性准则, 最佳分类特征

Abstract: The face recognition is an active subject in the field of computer vision and pattern recognition，which has a wide range of potential applications.In this paper，the Fisherfaces method based on the fusion of global and local facial features is presented.Fisher linear discriminating analysis is performed to extract the most discriminating features.Both local and global features’ excellence is fused in the method.The experiments on the ORL database demonstrate the effectiveness and feasibility of the presented method.

Key words: face recognition, principle component analysis, local features, global features, Fisher linear rule, the most discriminating features