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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Improving the Intra Class Distance using RBSQI Technique for Facial Images with Illumination Variations

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Author K. R. Singh, M. A. Zaveri, M.M. Raghuwanshi
ISSN 2079-8407
On Pages 28-33
Volume No. 2
Issue No. Special Issue
Issue Date February 01, 2011
Publishing Date February 01, 2011
Keywords PCA, SQI, luminance value, face recognition, illumination variation


Abstract

The changes induced by illumination variation are larger than the differences between individuals. This difference escalates the misclassification rate and thus aggravates the performance. So to improve the performance, illumination normalization/compensation becomes an essential preprocessing step. In this paper we propose a method Region Based Self Quotient Image (RBSQI) for illumination compensation. Our method is basically based on SQI filter. The proposed method aims to improve the intra class distance for faces of an individual taken under different illumination condition. This improvement will enhance the recognition rate. Experimental results on the extended version of YaleB database demonstrate the effectiveness of the proposed method in terms of minimizing the intra class distance and processing time. 

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