Face Recognition Algorithm based on Orientation Histogram of Hough Peaks
Amrita Biswas, Ghose M.K · International Journal of Artificial Intelligence & Applications · 2014
In this paper we propose a novel face recognition algorithm based on orientation histogram of Hough Transform Peaks.The novelty of the approach lies in utilizing Hough Transform peaks for determining the orientation angles and computing the histogram from it.For extraction of feature vectors first the images are divided into non overlapping blocks of equal size.Then for each of the blocks the orientation histograms are computed.The obtained histograms are combined to form the final feature vector set.Classification is done using k nearest neighbor classifier.The algorithm has been tested on the ORL database, Yale B Database & the Essex Grimace Database.97%Recognition rates have been obtained for ORL database, 100% for Yale B and 100% for Essex Grimace database