Novel image fusion scheme based on maximum ratio combining for robust 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 efficient frameworks for improving face recognition performance at close-up distances. However, few studies have investigated the multispectral face images captured at long distance. In fact, great challenges still exist in recognizing human face in images captured at long distance as the image quality might be affected and some important features masked. Therefore, multispectral face recognition tools and algorithms should evolve from close-up distances to long distances. To address these issues, we present in this paper a novel image fusion scheme based on Maximum Ratio Combining algorithm and improve multispectral face recognition at long distance. The proposed method is compared with similar super-resolution method based on the Maximum likelihood algorithm. Simulation results show the efficiency of the proposed approach in term of average variance of detection error.

    Original languageEnglish (US)
    Title of host publicationTwelfth International Conference on Quality Control by Artificial Vision
    PublisherSPIE
    Volume9534
    ISBN (Electronic)9781628416992
    DOIs
    StatePublished - Jan 1 2015
    Event12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
    Duration: Jun 3 2015Jun 5 2015

    Other

    Other12th International Conference on Quality Control by Artificial Vision
    CountryFrance
    CityLe Creusot
    Period6/3/156/5/15

    Fingerprint

    Image fusion
    Image Fusion
    Face recognition
    Face Recognition
    fusion
    Error detection
    Face
    Image quality
    Maximum likelihood
    Error Detection
    Super-resolution
    Image Quality
    Maximum Likelihood
    Term
    Simulation
    simulation

    Keywords

    • image fusion
    • Maximum likelihood algorithm
    • Maximum Ratio Combining
    • Multispectral face recognition

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

    Cite this

    Omri, F., & Foufou, S. (2015). Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition. In Twelfth International Conference on Quality Control by Artificial Vision (Vol. 9534). [95340T] SPIE. https://doi.org/10.1117/12.2182927

    Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition. / Omri, Faten; Foufou, Sebti.

    Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534 SPIE, 2015. 95340T.

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

    Omri, F & Foufou, S 2015, Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition. in Twelfth International Conference on Quality Control by Artificial Vision. vol. 9534, 95340T, SPIE, 12th International Conference on Quality Control by Artificial Vision, Le Creusot, France, 6/3/15. https://doi.org/10.1117/12.2182927
    Omri F, Foufou S. Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition. In Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534. SPIE. 2015. 95340T https://doi.org/10.1117/12.2182927
    Omri, Faten ; Foufou, Sebti. / Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition. Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534 SPIE, 2015.
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