Face recognition using HOG–EBGM

This paper presents a new face recognition algorithm based on the well-known EBGM which replaces Gabor features by HOG descriptors. The recognition results show a better performance of our approach compared to other face recognition approaches using public available databases. This better performanc...

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Bibliographic Details
Published inPattern recognition letters Vol. 29; no. 10; pp. 1537 - 1543
Main Authors Albiol, Alberto, Monzo, David, Martin, Antoine, Sastre, Jorge, Albiol, Antonio
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 15.07.2008
Elsevier
Subjects
Applied sciences
Detection, estimation, filtering, equalization, prediction
EBGM
Exact sciences and technology
Face recognition
HOG
Image processing
Information, signal and communications theory
Local image descriptors
Pattern recognition
SIFT
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
HOG
SIFT
EBGM
Face recognition
Local image descriptors
Biometrics
Performance evaluation
Gabor filter
Accuracy
Face recognition;EBGM;SIFT;HOG;Local image descriptors
Image processing
Database
Pattern recognition
Automatic recognition
Algorithm
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Summary:This paper presents a new face recognition algorithm based on the well-known EBGM which replaces Gabor features by HOG descriptors. The recognition results show a better performance of our approach compared to other face recognition approaches using public available databases. This better performance is explained by the properties of HOG descriptors which are more robust to changes in illumination, rotation and small displacements, and to the higher accuracy of the face graphs obtained compared to classical Gabor–EBGM ones.
ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2008.03.017