DWT-based Illumination Normalization and Feature Extraction for Enhanced Face Recognition

  • Authors

    • Manikantan K M S RAMAIAH INSTITUTE OF TECHNOLOGY
    • Milan S Shet M.S. Ramaiah Institute of Technology
    • Minal Patel M.S. Ramaiah Institute of Technology,
    • Ramachandran S S J B INSTITUTE OF TECHNOLOGY BANGALORE
    2012-09-19
    https://doi.org/10.14419/ijet.v1i4.353

  • Abstract

    Face recognition (FR) under varying lighting conditions is challenging, and exacting illumination invariant features is an effective approach to solve this problem. In this paper, we propose to utilize Discrete Wavelet Transform (DWT) for normalizing the illumination variance in images as well as for feature extraction. Individual stages of the FR system are examined and an attempt is made to improve each stage. A Binary Particle Swarm Optimization (BPSO) based feature selection algorithm is used to search the feature space for the optimal feature subset. Experimental results, obtained by applying the proposed algorithm on YaleB and Color FERET face databases, show that the proposed system outperforms other FR systems. A significant increase in the recognition rate and a substantial reduction in the number of features is observed. Dimensionality reduction obtained is more than 99% for both YaleB and Color FERET databases.

    Author Biographies

    • Manikantan K, M S RAMAIAH INSTITUTE OF TECHNOLOGY

      ASSOCIATE PROFESSOR,

      DEPT. OF ELECTRONICS AND COMMUNICATION ENGG.,

      M S RAMAIAH INSTITUTE OF TECHNOLOGY

      BANGALORE 560054

    • Milan S Shet, M.S. Ramaiah Institute of Technology

      Department of Electronics and Communication Engineering,M.S. Ramaiah Institute of Technology, Bangalore 560054 Karnataka, India

    • Minal Patel, M.S. Ramaiah Institute of Technology,
      Student, Final Year B.E., Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore 560054 Karnataka,
    • Ramachandran S, S J B INSTITUTE OF TECHNOLOGY BANGALORE

      PROFESSOR,

      DEPT. OF ELECTRONICS AND COMMUNICATION ENGG.,

      S J B INSTITUTE OF TECHNOLOGY

      BANGALORE

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  • How to Cite

    K, M., Shet, M. . S., Patel, M., & S, R. (2012). DWT-based Illumination Normalization and Feature Extraction for Enhanced Face Recognition. International Journal of Engineering & Technology, 1(4), 483-504. https://doi.org/10.14419/ijet.v1i4.353

    Received date: 2012-08-09

    Accepted date: 2012-08-29

    Published date: 2012-09-19