A novel image texture fusion scheme for improving multispectral face recognition

Faten Omri, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the research in multispectral face recognition has focused on developing an efficient framework that is capable of capturing and fusing the salient features from different spectral bands. However, few studies have explored the texture description to analyse the multispectral data. The local binary pattern (LBP) operator is one of the most powerful, attractive, and simple texture descriptor showing excellent results in terms of accuracy and computational complexity in many empirical studies. Motivated by the efficiency of this texture descriptor, we propose an extension of the basic LBP to evoke multispectral imagery analysis for face recognition. The proposed descriptor, called Multispectral Local Binary Pattern (MSLBP) captures the mutual relationships between the pixels in the different spectral bands. First, Gradient face is applied to address the variation in face images illumination. Then, the resulting MSLBP method provides input to PCA, LDA, and KFA classifiers for face recognition. These systems are implemented and compared with existing Local Binary Pattern face recognition systems. The obtained results show that the use of the proposed texture descriptor approach permit to achieve high recognition rates.

Original languageEnglish (US)
Title of host publicationProceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
EditorsRichard Chbeir, Richard Chbeir, Kokou Yetongnon, Albert Dipanda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-48
Number of pages6
ISBN (Electronic)9781479979783
DOIs
StatePublished - Apr 7 2015
Event10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014 - Marrakech, Morocco
Duration: Nov 23 2014Nov 27 2014

Publication series

NameProceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014

Other

Other10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014
Country/TerritoryMorocco
CityMarrakech
Period11/23/1411/27/14

Keywords

  • Face recognition
  • LBP
  • multispectral images fusion
  • texture analysis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Computer Networks and Communications

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