不同人脸识别技术的比较研究

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI:10.1109/CICN.2011.55

Sandeep Kukreja, Rekha Gupta

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引用次数: 10

摘要

本文介绍了三种主要人脸识别技术的性能比较。在第一种方法中，使用主成分分析(PCA)进行人脸识别。在第二种方法中，我们将k近邻(KNN)分类方法与主成分分析法相结合。利用直方图进行人脸识别。以ORL数据库和YALE数据库为例，对上述方法的精度和时间进行了比较。

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Comparative Study of Different Face Recognition Techniques

This paper presents performance comparison of three leading face recognition techniques. In the first method, the face recognition is done using principle component analysis (PCA). In the second method we combine K-nearest neighbor (KNN) classification method with PCA. The face recognition using histogram is also carried out. The above methods are compared on the basis of accuracy and time taken in an ORL database and YALE database.

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2011 International Conference on Computational Intelligence and Communication Networks

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