FACE RECOGNITION IN A VIDEO AGAINST VARIATION IN ILLUMINATION

Ankita Nandu Kudale
Department of Electronics and Telecommunication Engineering AISSMS IOIT, Pune, Maharashtra, India , IN

Pooja Maruti Pokale
Department of Electronics and Telecommunication Engineering AISSMS IOIT, Pune, Maharashtra, India , IN

Samiksha Nityanand Patil
Department of Electronics and Telecommunication Engineering AISSMS IOIT, Pune, Maharashtra, India , IN

Prof. Kunal V. Ranvir
Department of Electronics and Telecommunication Engineering AISSMS IOIT, Pune, Maharashtra, India , IN

Abstract

The use of video sequence for face recognition and image processing has relatively studied less than the image based approaches. However every system has is know challenges, while tracking a face in a video is a big system within. This paper presents a framework for a video based face recognition against the challenges of illumination. It is because an individual’s face a appear differently in different images yet many people may look somewhat same similar to each other under some conditions well, we are only concentrating only on the factor of variation in illumination using the algorithm Viola Jones.

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