Face recognition based on Beta 2D Elastic Bunch Graph Matching

Author

Ejbali, Ridha ; Zaied, Mourad ; Ben Amar, Chokri

Author_Institution

Res. Groups on Intell. Machines, Univ. of Sfax, Sfax, Tunisia

fYear

2013

Firstpage

88

Lastpage

92

Abstract

Elastic Bunch Graph Matching EBGM is a face recognition algorithm that is distributed with CSU´s Evaluation of Face Recognition Algorithms System. The algorithm recognizes novel faces by first localizing a set of landmark features and then measuring similarity between these features. Both localization and comparison uses Gabor jets extracted at landmark positions. In order to improve the performance of the face recognition system[7][8], we have associated Beta filters to the EBGM technique. This choice of Beta filters is advanced by the performance of these functions in many applications of classification and pattern recognition.

Keywords

face recognition; feature extraction; graph theory; image classification; Beta filters; CSU evaluation; EBGM; Gabor jets extraction; beta 2D elastic bunch graph matching; classification; face recognition algorithm system; landmark feature localization; pattern recognition; similarity measurement; Biomedical imaging; Conferences; Face; Face recognition; Principal component analysis; Beta filters; EBGM; classification; face recognition; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems (HIS), 2013 13th International Conference on

Conference_Location

Gammarth

Print_ISBN

978-1-4799-2438-7

Type

conf

DOI

10.1109/HIS.2013.6920461

Filename

6920461