关键词: 人脸识别, Fisher准则, 直方图特征, 特征提取, 投影矩阵

Abstract: In order to improve the performance of face recognition system, the criterion function of LDRC algorithm is improved and applied to the Fisher classifier, a new face recognition algorithm based on LBP feature and improved Fisher criterion is proposed. Firstly, the standard LBP histogram feature of each face image is extracted. Secondly, the extracted LBP features are input into the improved Fisher classifier to obtain the optimal projection matrix and the voting result matrix. Thirdly, the class number corresponding to the maximum value of the voting result matrix is solved, which is regarded as the final recognition result. Finally, those experiments are done in FERET and AR face database respectively. The final results show that the face recognition rate has been significantly improved compared with the traditional methods.

Key words: face recognition, Fisher criterion, histogram feature, feature extraction, projection matrix