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| 人脸识别特征提取方法和相似度匹配方法研究 | |
| 引用本文： | 郭瑞,张淑玲,汪小芬.人脸识别特征提取方法和相似度匹配方法研究[J].计算机工程,2006,32(11):225-227,247. |
| 作者姓名： | 郭瑞 张淑玲 汪小芬 |
| 作者单位： | 1. 海军工程大学电子工程系,武汉,430033 2. 湖北经济学院计算机与电子科学系,武汉,430000 3. 武汉大学信息管理学院,武汉,430000 |
| 摘 要： | 横向比较特征提取方法，综合考虑认证率和特征提取时间两方面因素，该文认为特征脸结合线性判别分析方法是研究的4种特征提取方法中最优的方法。通过对投影空间维数的研究，最佳投影空间维数同数据库本身类内图像的相似程度和每一类的样本数目同方向增长，它们之间存在定性关系而非定量关系。相似度匹配方法的研究结果表明余弦距离分类器分类效果最佳。 |
| 关 键 词： | 人脸识别 特征提取 距离分类器 线性判别分析 |
| 文章编号： | 1000-3428（2006）11-0225-03 |
| 收稿时间： | 2005-08-10 |
| 修稿时间： | 2005-08-10 |
Study of Feature Extraction and Similarity Match Method on Face Recognition |
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| GUO Rui,ZHANG Shuling,WANG Xiaofen.Study of Feature Extraction and Similarity Match Method on Face Recognition[J].Computer Engineering,2006,32(11):225-227,247. | |
| Authors: | GUO Rui ZHANG Shuling WANG Xiaofen |
| Affiliation: | 1. Department of Electronic Engineering, Naval University of Engineering, Wuhan 430033; 2. Department of Computer and Electronic Science Hubei Economic School, Wuhan 430000; 3. School of Information Management, Wuhan University, Wuhan 430000 |
| Abstract: | Eigenfaces combining linear discriminant analysis method is taken as the best by comparing different methods, considering synthetically verification rate and feature extraction time. Through study of projection space dimensions, it is indicated that the best projection dimension is connected with the similarity between images of one kind of the data base, with the number of samples of one kind. But their relation is qualitative, not quantitative, Studying of similarity match methods, it shows that cosine distance is best for classification. |
| Keywords: | Face recognition Feature extraction Distance-classifier Linear discriminant analysis(LDA) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
