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An efficient approach for face recognition in uncontrolled environment

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Abstract

There is a great demand of automatic face recognition in the society. The methods of face recognition are performed satisfactorily in controlled environment. The challenging benchmarks demonstrate that these methods may not adequately work in unconstrained environment. In this paper, we develop a novel framework of face recognition system that outperforms in unconstrained environment. The framework works on features based method that extracts facial landmarks from images. After quality check the patch experts are generated and used to model the appearance of landmarks of interests. The effect of discriminatory features is further enhanced by assigning weights to them that are to be set to the ratio of the interclass variance to the intraclass variance. The result shows that the proposed framework achieves better recognition accuracy in comparison to other known methods on publically available challenging datasets.

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Authors and Affiliations

  1. Apollo Institute of Technology, Sundhela, Sarsaul, Kanpur, 209402, India

    Amrit Kumar Agrawal

  2. Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, 226021, India

    Yogendra Narain Singh

Authors
  1. Amrit Kumar Agrawal
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  2. Yogendra Narain Singh
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Correspondence to Amrit Kumar Agrawal.

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Agrawal, A.K., Singh, Y.N. An efficient approach for face recognition in uncontrolled environment. Multimed Tools Appl 76, 3751–3760 (2017). https://doi.org/10.1007/s11042-016-3976-z

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  • DOI: https://doi.org/10.1007/s11042-016-3976-z

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