Fast and accurate holistic face recognition using Optimum-Path Forest (original) (raw)

2009 16th International Conference on Digital Signal Processing, 2009

Abstract

Abstract This paper presents a novel, fast and accurate holistic method for face-recognition using the Optimum-Path Forest (OPF) classifier. Our objective is to improve the face recognition accuracy against traditional methods and to reduce the computational effort in face recognition tasks. During the feature extraction stage we apply principal component analysis to reduce feature vectors in several dimensionalities. Experiments using face images from three public datasets (ORL, CBCL and YALE) present good results. ...

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