基于二维子空间分析和PNN的人脸识别方法

2013 11th International Symposium on Programming and Systems (ISPS) Pub Date : 2013-04-22 DOI:10.1109/ISPS.2013.6581496

Benouis Mohamed, Scnouci B. Mohamed

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引用次数: 2

摘要

本文提出了一种基于二维DWT-2DPCA和DWT-2DLDA特征提取方法与概率神经网络相结合的人脸识别新方法。利用2D-DWT技术消除人脸的光照、噪声和冗余，以减少概率神经网络运算的计算量。

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Face recognition approach based on two-dimensional subspace analysis and PNN

In this paper, we present an new approach to face recognition based on the combination of feature extraction methods, such as two-dimensional DWT-2DPCA and DWT-2DLDA, with a probabilistic neural networks. The technique 2D-DWT is used to eliminate the illumination, noise and redundancy of a face in order to reduce calculations of the probabilistic neural network operations.

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2013 11th International Symposium on Programming and Systems (ISPS)

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