Multimedia Tools and Applications

, Volume 76, Issue 3, pp 3751–3760 | Cite as

An efficient approach for face recognition in uncontrolled environment



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.


Face recognition Facial features detection and unconstrained environment 


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Apollo Institute of TechnologyKanpurIndia
  2. 2.Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical UniversityUttar PradeshLucknowIndia

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