• Jayshree Wadje
• Jondhale Kalpana

In this paper algorithm for illumination compensation is implemented on human face recognition under different lighting conditions. Many researchers gave good results by compensating of low frequency illumination, or capturing of high frequency edges. A simple but effective method namely oriented local histogram equalization which compensates illumination and gives richer information on the orientation of edges is implemented. The features OLHE gives good results when different lighting conditions occur. The recognition rate accuracy has been improved when proposed algorithm for lighting compensation is used.

Face recognition, illumination compensation, histogram equalization

"Face Recognition Using Oriented Local Histogram Equalization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.424-430, December-2018, Available :http://www.jetir.org/papers/JETIR1812870.pdf

"Face Recognition Using Oriented Local Histogram Equalization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp424-430, December-2018, Available at : http://www.jetir.org/papers/JETIR1812870.pdf