| 基于特征融合的人脸识别 |
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| 引用本文： | 刘嵩.基于特征融合的人脸识别[J].湖北民族学院学报(哲学社会科学版),2011(2). |
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| 作者姓名： | 刘嵩 |
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| 作者单位： | 湖北民族学院信息工程学院; |
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| 基金项目： | 湖北省自然科学基金项目(2009CDB069); 恩施州科技局项目“基于ICA的人脸识别技术在门禁系统的应用研究”; 湖北民族学院青年项目“嵌入式网络视频监控系统研究” |
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| 摘 要： | 针对单一的人脸特征在识别中的局限性,提出了一种基于特征融合的人脸识别方法,首先利用主成分分析获得原始输入图像的特征脸,经图像重构处理得到原始图像的余像,然后抽取余像的特征脸,最后将两种特征脸按一定的权重融合成一个组合特征进行人脸识别,通过针对ORL人脸数据库的实验表明:该特征融合方法的人脸识别是行之有效的,优于传统特征脸的方法,识别率可以达到91.5%.
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| 关 键 词： | 特征脸 人脸识别 特征融合 主成分分析 |
Face Recognition Based on Feature Fusion |
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| LIU Song.Face Recognition Based on Feature Fusion[J].Journal of Hubei Institute for Nationalities(Natural Sciences),2011(2). |
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| Authors: | LIU Song |
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| Institution: | LIU Song(School of Information and Engineering,Hubei University for Nationalities,Enshi 445000,China) |
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| Abstract: | A new face recognition method based on features fusion is suggested in order to overcome the limitation of sole facial feature in recognition.Firstly,the eigenface of original face images is extracted by the technology of principal component analysis,after the image is obtained by reconstructing face images.Secondly,the second order eigenface is obtained in the same way.Finally these two kinds of eigenface are fused into a combined one over their respective matching score weighted by a set of coefficients.T... |
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| Keywords: | eigenface face recognition features fusion principal component analysis |
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