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基于生物启发特征与PCA-LDA的人脸识别方法 被引量:2

Face recognition based on biologically inspired features combined with PCA-LDA
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摘要 提出了一种基于生物启发特征的人脸识别算法.算法首先提取人脸图像的C1特征,然后利用PCA-LDA方法对其降维,最后,利用SVM进行识别.利用ORL人脸图像数据库对算法进行了验证,实验结果表明利用该方法可以得到很好的识别效果. A new algorithm for face recognition based on biologically inspired features is presented. First, C1 features of the facial images are extracted, then PCA-LDA method is used to reduce the dimensionality of the C1 features, finally,SVM is used for recognition.The algorithm is tested on ORL face database,the experimental results show that the algorithm is applicable and can achieve a high accuracy of recognition.
出处 《河北工业大学学报》 CAS 北大核心 2013年第5期80-83,共4页 Journal of Hebei University of Technology
基金 河北省科学技术重大支撑计划(10243554D)
关键词 人脸识别 仿生特征 主成分分析 线性鉴别分析 支持向量机 face recognition biologically inspired feature(BIF) PCA LDA SVM
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