NIR and visible image fusion for improving face recognition at long distance

Faten Omri, Sebti Foufou, Mongi Abidi

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

    Abstract

    Face recognition performance achieves high accuracy in close proximity. However, great challenges still exist in recognizing human face at long distance. In fact, the rapidly increasing need for long range surveillance requires a passage from close-up distances to long distances which affects strongly the human face image quality and causes degradation in recognition accuracy. To address this problem, we propose in this paper, a multispectral pixel level fusion approach to improve the performance of automatic face recognition at long distance. The main objective of the proposed approach is to formulate a method to enhance the face image quality as well as the face recognition rate. First, visible and near-infrared images are decomposed into a different bands using discrete wavelet transform. Then, the fusion process is performed through the singular value decomposition and principal component analysis. The results highlight further the still challenging problem of face recognition at long distance, as well as the effectiveness of our proposed approach as an alternative solution to this problem.

    Original languageEnglish (US)
    Title of host publicationImage and Signal Processing - 6th International Conference, ICISP 2014, Proceedings
    PublisherSpringer-Verlag
    Pages549-557
    Number of pages9
    ISBN (Print)9783319079974
    DOIs
    StatePublished - Jan 1 2014
    Event6th International Conference on Image and Signal Processing, ICISP 2014 - Cherbourg, France
    Duration: Jun 30 2014Jul 2 2014

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8509 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other6th International Conference on Image and Signal Processing, ICISP 2014
    CountryFrance
    CityCherbourg
    Period6/30/147/2/14

    Fingerprint

    Image fusion
    Image Fusion
    Face recognition
    Face Recognition
    Image quality
    Face
    Image Quality
    Fusion
    Discrete wavelet transforms
    Singular value decomposition
    Infrared Image
    Principal component analysis
    Pixels
    Surveillance
    Wavelet Transform
    Principal Component Analysis
    Proximity
    Infrared radiation
    High Accuracy
    Degradation

    Keywords

    • Face recognition at long distance
    • Multispectral image fusion
    • NIR and visible spectrum

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Omri, F., Foufou, S., & Abidi, M. (2014). NIR and visible image fusion for improving face recognition at long distance. In Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings (pp. 549-557). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8509 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-07998-1_63

    NIR and visible image fusion for improving face recognition at long distance. / Omri, Faten; Foufou, Sebti; Abidi, Mongi.

    Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings. Springer-Verlag, 2014. p. 549-557 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8509 LNCS).

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

    Omri, F, Foufou, S & Abidi, M 2014, NIR and visible image fusion for improving face recognition at long distance. in Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8509 LNCS, Springer-Verlag, pp. 549-557, 6th International Conference on Image and Signal Processing, ICISP 2014, Cherbourg, France, 6/30/14. https://doi.org/10.1007/978-3-319-07998-1_63
    Omri F, Foufou S, Abidi M. NIR and visible image fusion for improving face recognition at long distance. In Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings. Springer-Verlag. 2014. p. 549-557. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-07998-1_63
    Omri, Faten ; Foufou, Sebti ; Abidi, Mongi. / NIR and visible image fusion for improving face recognition at long distance. Image and Signal Processing - 6th International Conference, ICISP 2014, Proceedings. Springer-Verlag, 2014. pp. 549-557 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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