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Face Recognition using Eigenfaces and Fuzzy Neural Networks

Title
Face Recognition using Eigenfaces and Fuzzy Neural Networks
Author
문영식
Issue Date
2003-07
Publisher
대한전자공학회
Citation
ITC-CSCC v. 2003, no. 7, page. 474-477
Abstract
In this paper, we propose a face recognition method using eigenfaces and fuzzy neural networks. In theproposed method, fuzzy membership degrees are assigned to many eigenfaces weights. These membership degrees are then inputted to a neural network to be trained. After training, the output value of the neural network is interpreted as the degree of face’s closeness to other faces in the training database. Experimental results show that the proposed method can recognize faces more accurately than other face recognition methods, when using more than 50 eigenfaces.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01742293https://repository.hanyang.ac.kr/handle/20.500.11754/156100
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ETC[S] > 연구정보
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