Elastic Bunch Graph Matching Based Face Recognition Under Varying Lighting, Pose, and Expression Conditions
Abstract
In this paper performance of elastic bunch graph matching (EBGM) for face recognition under variation in facial expression, variation in lighting condition and variation in poses are given. In this approach faces are represented by labelled graphs. Experimental results of EBGM on ORL, Yale B and FERET datasets are provided. Strong and weak features of EBGM algorithm are discussed.
Keywords
Face bunch graph, Face recognition, Gabor wavelet transform
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PDFDOI: http://doi.org/10.11591/ijai.v3.i4.pp177-182
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IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).