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http://dx.doi.org/10.5391/JKIIS.2005.15.6.759

Face Recognition using Fuzzy-EBGM(Elastic Bunch Graph Matching) Method  

Kwon Mann-Jun (Chungbuk National University School of Electrical and Computer Engineering)
Go Hyoun-Joo (Chungbuk National University School of Electrical and Computer Engineering)
Chun Myung-Geun (Chungbuk National University School of Electrical and Computer Engineering)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.6, 2005 , pp. 759-764 More about this Journal
Abstract
In this paper we describe a face recognition using EBGM(Elastic Bunch Graph Matching) method. Usally, the PCA and LDA based face recognition method with the low-dimensional subspace representation use holistic image of faces, but this study uses local features such as a set of convolution coefficients for Gabor kernels of different orientations and frequencies at fiducial points including the eyes, nose and mouth. At pre-recognition step, all images are represented with same size face graphs and they are used to recognize a face comparing with each similarity for all images. The proposed algorithm has less computation time due to simplified face graph than conventional EBGM method and the fuzzy matching method for calculating the similarity of face graphs renders more face recognition results.
Keywords
얼굴인식;그래프 매칭;EBGM;가버 커널;제트;
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