2015
DOI: 10.5120/21666-4741
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Complete Architecture of a Robust System of Face Recognition

Abstract: Although human face recognition is a hard topic because of the multitude of parameters involved (e.g. variation in pose, illumination, facial expression, partial occlusions), it is very important to be interested and to invest in it viewed her many fields of application (identity authentication, physical and logical access control, video surveillance, human-machine interface...). The work presented in this paper is in this context. Its objective is the implementation of a complete architecture of a robust face… Show more

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Cited by 1 publication
(1 citation statement)
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“…-Combination of HMM and SVM [87] 100 -1DHMM + Wavelet [128] 100 -Pseudo 2D HMM + Wavelet [129] 100 -SVM + PCA [114] 97 -ICA [130] 85 -Gabor + ICA [131] 100 -LFA [132] 100 -PCA [11] 80.5 -Pose estimator [133] 99 -Fisherfaces with BCD [134] 95.45…”
Section: Resultsmentioning
confidence: 99%
“…-Combination of HMM and SVM [87] 100 -1DHMM + Wavelet [128] 100 -Pseudo 2D HMM + Wavelet [129] 100 -SVM + PCA [114] 97 -ICA [130] 85 -Gabor + ICA [131] 100 -LFA [132] 100 -PCA [11] 80.5 -Pose estimator [133] 99 -Fisherfaces with BCD [134] 95.45…”
Section: Resultsmentioning
confidence: 99%