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Author Singh, K. R. ♦ Zaveri, M. A. ♦ Raghuwanshi, M. M.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Intra Class Distance ♦ Illumination Variation ♦ Rbsqi Technique ♦ Facial Image ♦ Method Region ♦ Sqi Filter ♦ Essential Preprocessing Step ♦ Recognition Rate ♦ Different Illumination Condition ♦ Illumination Normalization Compensation ♦ Yaleb Database ♦ Processing Time ♦ Extended Version ♦ Self Quotient Image ♦ Illumination Compensation ♦ Experimental Result ♦ Misclassification Rate
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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article