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Received:January 26, 2010 Revised:March 12, 2010
Received:January 26, 2010 Revised:March 12, 2010
中文摘要: 基于主成分分析的特征脸方法是人脸识别中的重要算法之一，本文提出利用特征脸对高考考生免冠照片进行相似度比对的检索方法，为验证提出方法的实用性和有效性，利用特征脸方法和考生照片库设计了人脸图像检索原型系统并进行了实验，实验结果表明本文方法能够有效检索出相似度较高的考生照片，具有一定的应用价值和研究意义。
Abstract:Eigenfaces method, based on principal component analysis, is one of the important algorithms for human face recognition. This paper proposes a retrieval method by comparing the degree of similarity for different candidates using bareheaded photos from college entrance examinations based on eigenfaces. To validate the practicality and efficiency of the proposed method, a human face images retrieval prototype system is developed using eigenfaces and candidate bareheaded photos. The experiment results show that the photos with higher similarity are retrieved more efficiently, which has application value and research significance.
keywords: human face recognition K-L transform principal component analysis eigenfaces image retrieval
文章编号： 中图分类号： 文献标志码：
基金项目:山东省高等学校科技计划(J09LG51);国家杰出青年科学基金(50225414)
| Author Name | Affiliation |
| XIE Hong-Sheng | 山东女子学院 信息技术学院 山东 济南 250300 |
| Author Name | Affiliation |
| XIE Hong-Sheng | 山东女子学院 信息技术学院 山东 济南 250300 |
引用文本：
解洪胜.基于Eigenfaces方法的人脸检索.计算机系统应用,2010,19(10):91-94
XIE Hong-Sheng.Human Face Retrieval Based on Eigenfaces Method.COMPUTER SYSTEMS APPLICATIONS,2010,19(10):91-94
解洪胜.基于Eigenfaces方法的人脸检索.计算机系统应用,2010,19(10):91-94
XIE Hong-Sheng.Human Face Retrieval Based on Eigenfaces Method.COMPUTER SYSTEMS APPLICATIONS,2010,19(10):91-94
