Abstract: Principal Component Analysis is one of the most successful techniques that have been used in image recognition. The purpose of PCA is to reduce the large dimensionality of the data space to the smaller dimensionality of the feature space. The proposed paper presents a face recognition algorithm based on modular PCA. It provides improved recognition rate for face images with large variations. The variations may be with respect to the lighting, direction and facial expression. In the Modular PCA approach original face images are divided into sub images and then the PCA approach is applied to each of these sub images.
Keywords: Face recognition, Illumination variation, facial expression, pose invariance, PCA , Modular PCA.
Title: An Efficient Algorithm for Face Recognition using Modular PCA
Author: Vandana Akshath Raj
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
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