Improving the Performance of Face Recognition Technique using Brightness Preserving and Contrast Limited Bi-histogram Equalization

  • Authors

    • P. Radha
    • T. Shanthi
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.25.26938
  • Face Recognition, Support Vector Machine, Local Binary Pattern, Brightness Preserving Histogram Equalization.

  • Abstract

    The Face Recognition technique is one of the highly secured method for incorporating the authentication. Since it uses bio-metric technique which is unique for a person. Face recognition technique involves extraction of feature and train the features for using classifiers for matching. The Extracted features must be precise so that identification becomes perfect.  This paper proposes an innovative method of facial recognition in which facial image is enhanced by the technique Brightness Preserving and Contrast Limited Bi-Histogram Equalization for the image.  Then Features are extracted and those enhanced features extracted are used for Classification using Multi-Class SVM and matching. FERET data base is used. Various parameters such as FAR, FRR, TSR and EER are calculated and compared with the traditional techniques.

     

     

  • References

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  • How to Cite

    Radha, P., & Shanthi, T. (2018). Improving the Performance of Face Recognition Technique using Brightness Preserving and Contrast Limited Bi-histogram Equalization. International Journal of Engineering & Technology, 7(4.25), 278-282. https://doi.org/10.14419/ijet.v7i4.25.26938

    Received date: 2019-01-31

    Accepted date: 2019-01-31

    Published date: 2018-11-30