结合小波分解和局部混合投影熵的鲁棒人脸识别

2009 International Conference on Apperceiving Computing and Intelligence Analysis Pub Date : 2009-12-28 DOI:10.1109/ICACIA.2009.5361090

Yuan-Yuan Huang, Jianping Li, Jie Lin, Yujie Hao, Guiduo Duan

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引用次数: 3

摘要

本文首先展示了人脸识别这一新兴研究领域的全貌。然后提出了一种基于小波变换和局部混合投影熵(LHPE)相结合的人脸识别方法。采用一些经典的图像处理方法构成级联框架。在耶鲁人脸数据库和耶鲁B人脸数据库上的实验结果表明，该方法具有较强的竞争力，对光照变化具有较强的鲁棒性。

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Robust face recognition by combining wavelet decomposition and local hybrid projection entropy

This paper firstly shows the entire picture of a promising research area, face recognition. Then a new face recognition method is proposed, mainly based on the combination of wavelet transform and local hybrid projection entropy (LHPE). Some classical image processing methods are included to constitute a cascade framework. The experimental results on Yale face database and Yale B face database show that this method is effective and competitive, especially robust to illumination changes.

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2009 International Conference on Apperceiving Computing and Intelligence Analysis

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