Studies on the effectiveness of multispectral images for face recognition: Comparative studies and new approaches

Hamdi Jamel Bouchech, Sebti Foufou, Andreas Koschan, Mongi Abidi

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

Abstract

In this paper, we investigate face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, three state of the art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are challenged against the IRIS-M3 multispectral face data base to evaluate their robustness against high illumination variation. Second, we propose to enhance the Performance of the three mentioned algorithms, which has been drastically decreased because of the non-monotonic illumination variation that distinguishes the IRIS-M3 face database. Instead of the usual braod band images, we use narrow band sub spectral images selected from the visible spectrum. Selection of best spectral bands is formulated as a pursuit optimization problem wherein the vector of weights determining the importance of each visible spectral band is supposed to be sparse, and hence can be determined by minimizing its L1-norm. The results highlight further the still challenging problem of face recognition in conditions with high illumination variation, as well as the effectiveness of our sub spectral images based approach to increase the accuracy of the studied algorithms by at least 14% upon the proposed database.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013
Pages58-64
Number of pages7
DOIs
StatePublished - 2013
Event2013 9th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013 - Kyoto, Japan
Duration: Dec 2 2013Dec 5 2013

Publication series

NameProceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013

Other

Other2013 9th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013
CountryJapan
CityKyoto
Period12/2/1312/5/13

Keywords

  • Bands selection
  • HGPP
  • IRIS-M3
  • LGBPHS
  • MBLBP
  • Subspectral images

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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    Bouchech, H. J., Foufou, S., Koschan, A., & Abidi, M. (2013). Studies on the effectiveness of multispectral images for face recognition: Comparative studies and new approaches. In Proceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013 (pp. 58-64). [6727170] (Proceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013). https://doi.org/10.1109/SITIS.2013.21