| 基于WT／ICA和神经网络的人脸识别方法 |
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| 引用本文： | 王展青,魏毅峰.基于WT／ICA和神经网络的人脸识别方法[J].微机发展,2005,15(8):153-154,157. |
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| 作者姓名： | 王展青 魏毅峰 |
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| 作者单位： | 武汉理工大学理学院,湖北武汉430070 |
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| 摘 要： | 提出了一种基于WT／ICA和神经网络的人脸识别方法。首先利用小波分析提取原始图像的低频子图，然后利用独立分量分析（ICA）进行特征提取，最后采用径向基函数（RBF）神经网络进行分类和识别。实验表明该方法提高了人脸的识别率。
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| 关 键 词： | 小波分析 独立分量分析 径向基函数神经网络 人脸识别 |
| 文章编号： | 1005-3751（2005）08-0153-02 |
| 收稿时间： | 2004-10-12 |
| 修稿时间： | 2004-10-12 |
Face Recognition Method Based on WT/ICA and Neural Network |
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| Wang ZhanQing;Wei YiFeng.Face Recognition Method Based on WT/ICA and Neural Network[J].Microcomputer Development,2005,15(8):153-154,157. |
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| Authors: | Wang ZhanQing;Wei YiFeng |
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| Abstract: | A face recognition method based on WT/ICA and neural network is proposed in this paper. Firstly, the low frequency sub- band of the original image was extracted through wavelet transform, and then the feature was extracted with ICA, finally, faces were recognized by radial base functions neural network. The experimental results show that the method can reach a high recognition rate. |
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| Keywords: | wavelet transform independent component analysis radial base functions neural network face recognition |
| 本文献已被 CNKI 维普 等数据库收录！ |
