Histogram Based Face Recognition

Volume 4 Issue 4 October - December 2017

Research Paper

Histogram Based Face Recognition

Ch. Srinivasa Reddy*, G.Ravi Kumar**, S. Chinni Krishna Reddy***

*-** Assistant Professor, Vignan's Institute of Information Technology, Andhra Pradesh, India.

*** PG Scholar, Vignan's Institute of Information Technology, Andhra Pradesh, India.

Reddy, S., Kumar, G.R. and Reddy, C.K. (2017). Histogram Based Face Recognition. i-manager’s Journal on Image Processing, 4(4), 31-35. https://doi.org/10.26634/jip.4.4.14162

Abstract

Human face conveys more information about identification, expression, and emotions of a person. In today's world every individual in the society wants to be more secure from unauthorized authentication. In order to provide more security, “Facial Recognition” has come into the picture and lead a most challenging role of detecting the face with more accurate results without any false identities. To increase the efficiency of the face recognition, histogram based facial recognition is chosen, where a face region is fragmented into a number of regions and histogram values are extracted and they are linked together into a single vector. This vector is compared for the similarities between the facial images and provides a most efficient outcome.