Face Recognition System Using Gabor Features and HTK Toolkit

Author

Elgarrai, Zineb ; El Meslouhi, Othmane ; Allali, Hakim ; Kardouchi, Mustapha ; Selouani, Sid-Ahmed

Author_Institution

FST, Hassan 1st Univ., Settat, Morocco

fYear

2014

Firstpage

32

Lastpage

36

Abstract

This paper presents a new face recognition system. The proposed system is built on Hidden Markov Models (HMMs). Facial image features are extracted using Gabor filters. The dimensionality of those features is reduced using the Linear Discriminant Analysis (LDA) method to keep only the most relevant information. Then, the system injects the resulting feature vectors to the Hidden Markov Model Toolkit (HTK). Note that HTK is a portable toolkit for speech recognition system. Experimental results on YALE and ORL databases show the efficiency of the proposed approach.

Keywords

Gabor filters; face recognition; feature extraction; hidden Markov models; vectors; Gabor features; Gabor filters; HMM; HTK toolkit; LDA method; ORL databases; YALE databases; dimensionality reduction; face recognition system; facial image feature extraction; feature vectors; hidden Markov model toolkit; linear discriminant analysis; Databases; Face; Face recognition; Feature extraction; Hidden Markov models; Prototypes; Training; Face recognition; Gabor features; Hidden Markov Models Toolkit; Linear Discriminant Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on

Type

conf

DOI

10.1109/SITIS.2014.71

Filename

7081522