中文摘要：

为进一步有效提升稀疏表示人脸识别系统的识别率和可靠性,在分析人脸图像稀疏表示系数分类能力的基础上,提出了一种基于残差加权的稀疏表示人脸识别新方法.该方法通过对类残差图像关于所属类稀疏表示系数的l2范数进行归一化加权,有效提升了原始基于类残差判决的识别能力.仿真实验结果表明：改进的基于残差加权的稀疏表示方法能够有效提高系统的识别性能.

英文摘要：

To further enhance the performance of SRFR, an improved sparse representation classification （SRC） method for face recognition based on weighted residuals （WR） is proposed on the basis of analyzing the classification capability of sparse representation coefficients. The recognition capability of the original SRC is efficiently promoted by WR with 12- norm of sparse representation coefficients. Simulation experimental results show that the recognition performance of WR based SRC can he considerably increased.