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A Face Recognition Technique Using Principal Component Analysis

Author(s):

Jyoti Dalal , Amity University ; Ankush chaudhary, Amity University ; Ashish Kumar Sharma, Amity University ; Leena Choukiker, Amity University

Keywords:

Histogram equalization, Principal component analysis

Abstract

This paper describes an for an robust face recognition system in order to overcome many of the limitations found in existing facial recognition systems. This paper addresses the problem of detecting faces in color images in the presence of various lighting conditions and various poses. In this paper the face is preprocessed using histogram equalization to avoid illumination problems and then is detected using skin segmentation method. The facial features are then extracted and recognized using principal component analysis. The dimensionality of the image is reduced by using PCA.

Other Details

Paper ID: IJSRDV3I1385
Published in: Volume : 3, Issue : 1
Publication Date: 01/04/2015
Page(s): 979-980

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