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Improvement in Recognition Rate by Using Linear Regression with Principal Component Analysis
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 11)Publication Date: 2014-11-05
Authors : Tanvi Ahuja; Vinit Agarwal;
Page : 647-650
Keywords : Face Recognition; Eigen Vectors; PCA; Linear Regression; Euclidean Distance;
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Find it from : Google Scholar
Abstract
In this paper we propose a face recognition system which use the combination of Regression and PCA (Principal Component Analysis). We use regression for classification of eigen vectors generated and PCA for extraction of facial features. The results obtained are more accurate than the previous approaches.
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