| 基于主元分析和Fuzzy ART模型的人脸识别算法 |
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| 引用本文： | 张林,胡波.基于主元分析和Fuzzy ART模型的人脸识别算法[J].电路与系统学报,1999,4(3):9-17. |
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| 作者姓名： | 张林 胡波 |
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| 作者单位： | 复旦大学电子工程系CAT实验室!上海,200433,复旦大学电子工程系CAT实验室!上海,200433,复旦大学电子工程系CAT实验室!上海,200433 |
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| 摘 要： | 本文从子空间的理论出发,先用一写数量的人脸榇一构造优化的“人脸空间”,“人脸空间”能更好的描述人脸图象矢量的分布。把人脸图象在子空间进行投影得到人脸的特征向量。然后在Ｆｕｚｚｙ ＡＲＴ模型的基础上设计发类器。用４０组共计４００张人脸图象结系统进行测试,实验结果表明识别率在９５％以上,系统具有良好的识别能力和鲁棒性。
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| 关 键 词： | 人脸识别 模式识别 主元分析 Fuzzy ART |
Face Recognition Based on Principal Component Analysis and Fuzzy ART Neural Model |
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| ZHANG Lin, HU Bo ,LING Xie-ting.Face Recognition Based on Principal Component Analysis and Fuzzy ART Neural Model[J].Journal of Circuits and Systems,1999,4(3):9-17. |
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| Authors: | ZHANG Lin HU Bo LING Xie-ting |
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| Abstract: | A new face recognition algorithm based on Principal Components Analysis and Fuzzy ART neural model ispresented. The method collstructs optimal "face space" from a number of typica1 face images, which can describe thedistribution of face image better. The face feature vector is obtained from the projection of face image on the constructed"face space". Then a neural network recognizer is designed and implemented on the basis of the Fuzzy ART model. Testingthe system with 4Oo face images from 40 groups, the correct recognition rate is over 95%, which demonstrates the goodpartition capability and robustness of the recognition system. |
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| Keywords: | Face Recognition Pattern Recognition Principal Components Analysis Fuzzy ART |
| 本文献已被 CNKI 维普 等数据库收录！ |
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