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Efficient Face Recognition through the Fusion Approach.

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 3)

Publication Date:

Authors : ; ;

Page : 1277-1281

Keywords : Color face recognition; Color local texture features; Combination; Principal component analysis; linear discriminant analysis.;

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Face recognition system should be able to automatically detect a face in images. This involves extraction of its features and then recognizes it, regardless of lighting, ageing, occlusion, expression, illumination and pose. Color local texture method do not easy to recognize the face and if variation in face means do not get proper results. Linear discriminant analysis (LDA) is commonly used technique for data classification and dimensionality reduction. LDA approach overcomes the above problem. The objective of LDA is to perform dimensionality reduction while preserving as much of the class discriminatory information as possible. Linear discriminant analysis is also known as fisher’s discriminant analysis and it searches for those vectors in the underlying space that best discriminate among classes.

Last modified: 2014-05-22 18:13:38