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| 基于Fisherface和补偿模糊神经网络的人脸识别方法 |
| Face Recognition Based on Fisherface and Compensatory Neurofuzzy Systems |
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| DOI：10.3969/j.issn.1671-5322.2007.02.005 |
| 中文关键词: 主成分分析 线性判别分析 模糊神经网络 补偿模糊神经网络 |
| 英文关键词: PCA LDA fuzzy neural networks compensatory neurofuzzy systems |
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| 中文摘要: |
| 对基于Fisherface和补偿模糊神经网络的人脸识别方法进行了研究,首先用Fisherface进行特征抽取,构成特征空间.然后对文献中提出的补偿模糊神经网络进行调整使其能解决多类分类问题.最后在特征空间里设计补偿模糊神经网络.实验结果表明,该方法具有良好的性能. |
| 英文摘要: |
| A study is made on face recognition which is based on Fisherface and Compensatory Neurofuzzy Systems.First,Fisherface is used to feature extract,which is formed into a feature space.Then,a Compensatory Neurofuzzy classifier which is proposed in literature,is designed in the feature space and improved to solve Multi-Class.Experiment results of the facial database of ORL indicate that the proposed method has good performance. |
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