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| 一种改进的模块PCA人脸识别新方法 | |
| 引用本文： | 张岩,武玉强. 一种改进的模块PCA人脸识别新方法[J]. 计算机工程与应用, 2011, 47(26): 216-218. DOI: 10.3778/j.issn.1002-8331.2011.26.061 |
| 作者姓名： | 张岩 武玉强 |
| 作者单位： | 1.济宁学院 物理与信息工程系，山东 曲阜 2731552.曲阜师范大学 自动化研究所，山东 曲阜 273165 |
| 基金项目： | 国家教育部科学技术研究重点项目(No.208074); 济宁学院科研基金项目(No.2009KJLX04) |
| 摘 要： | 提出了一种改进的模块PCA方法，即基于独立特征抽取的模块PCA方法。算法先对图像进行分块，然后对每一子块独立地进行PCA处理，求出测试样本子块与训练样本对应子块间的距离;最后将这些距离相加得到测试样本与训练样本的距离，用最近距离分类器分类。在ORL人脸库和Yale人脸库上的实验结果表明，提出的方法在识别性能上明显优于普通模块PCA方法。 |
| 关 键 词： | 主成分分析 模块主成分分析 特征抽取 人脸识别 |
| 修稿时间： | |
New face recognition method based on improved modular PCA |
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| ZHANG Yan,WU Yuqiang. New face recognition method based on improved modular PCA[J]. Computer Engineering and Applications, 2011, 47(26): 216-218. DOI: 10.3778/j.issn.1002-8331.2011.26.061 | |
| Authors: | ZHANG Yan WU Yuqiang |
| Affiliation: | 1.Department of Physics and Information Engineering，Jining University，Qufu，Shandong 273155，China2.Research Institute of Automation，Qufu Normal University，Qufu，Shandong 273165，China |
| Abstract: | An improved modular PCA(Principal Component Analysis) method,that is modular PCA method based on independence of feature extraction,is proposed.The original images are divided into sub-images in proposed approach.Then each kind of sub-images at the same position have been disposed by PCA independently,the distance between the corresponding sub-images of the test sample and the train sample can be given.Finally,the distance between the test sample and the train sample can be caculated by adding all these dis... |
| Keywords: | Principal Component Analysis(PCA) modular principal component analysis feature extraction face recognition |
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