A new face recognition method based on combination of KPCA features is proposed in this paper.
提出了一种基于核主成分特征组合的人脸识别方法。
Based on ORL face database, recognizes correlation coefficients of principal component extracted by KPCA.
基于OR L人脸库，识别核主成分分析提取出的主成分的相关性系数。
In the paper, GBGM-GA is seen the optimization technique combining KPCA and GA, and is suitable to the optimization selection of kernel function parameter.
本文采用高斯变异遗传算法作优化技术，实现了KPCA和GA的集成，适合核函数参数的优化选择。
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