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A Study on Face Recognition System


Gurpreet Kaur , CT Group of Institutions; Manpreet Singh, CT Group Of Institutions; Sandeep Kaur, CT Group Of Institutions


Biometrics, Face Recognition System


According to previous research work exhibiting desirable properties including orientation selectivity or spatial locality in the face recognition system has found as the major change in the face images, Neural Networks have suffering from limited shortcomings which imbalanced crucially characteristics and Neural Network helps to size representation of a given face pattern, therefore among these shortcomings may match to the fact. However, various filters are not orthogonal in specified order for all and one to another for attained the correlated probability. This makes more suitable information which contained in the Neural Network face representation redundant as well as affects the size of face representation where to overcome problem. In this review paper, we have reviewed problem and related techniques to deploy illumination of light in the face images as it employ to various combination in face representation.

Other Details

Paper ID: IJSRDV3I120451
Published in: Volume : 3, Issue : 12
Publication Date: 01/03/2016
Page(s): 530-532

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