Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Effect of Varying Training Images on Performance of Face Recognition: A Study

Author : Nitin Kumar 1 Ajay Jaiswal 2

Date of Publication :22nd February 2018

Abstract: One of the problems in face recognition is the limited number of images per person available for training. In this paper, we investigate the performance of popular feature extraction methods such as Gabor wavelets, Discrete wavelet transform, Multi-view canonical correlation analysis, Linear discriminant analysis, Generalized uncorrelated linear discriminant analysis and Supervised canonical correlation analysis for face recognition with variation in the number of training images per person. The performance is measured in terms of classification accuracy. Experimental results on four publicly available datasets viz., AR, ORL, CMU-PIE and YALE demonstrate that the classification accuracy in general increases with increase in the number of training images per person with few exceptions.

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