Academy & Industry Research Collaboration Center
In this paper, the authors 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.