摘要
为了能够提高人脸识别的效果,深入地研究了第二代曲波在人脸识别中的应用.首先,分析了第二代曲波的基本理论.其次,分析了基于第二代曲波变换的加权算法.然后,分析了基于第二代曲波加权的双向二维主成分分析人脸识别算法.最后,进行了算例分析,对ORL和Yale人脸数据库的人脸图像进行了人脸识别仿真实验,实验结果表明改进的算法具有识别率高和识别时间短的优点.
In order to improve the effect of the face recognition, the application of the second generation curvelet method on it is studied in depth. First, the basic theory of the second generation curvelet method is analyzed And then the weight algorithm based on second generation curvelet method is analyzed. And the face recognition algorithm based on second generation curvelet method and two dimension principal component analysis methods are proposed. Finally, the face recognition simulation experiment is carried out for the ORL and Yale face databases, and the results show that the improved algorithm has higher recognition rate and less recognition time
出处
《晓庄学院自然科学学报》
CAS
北大核心
2013年第1期28-33,共6页
Journal of Natural Science of Hunan Normal University
基金
江西省科技支撑计划资助项目(2009BGB01900)
关键词
第二代曲波
人脸识别算法
识别率
second generation curvelet
face recognition algorithm
recognition rate
