Procedia Social and Behavioral Sciences

Abstract

In recent years, HOG (Histogram of Oriented Gradients) algorithm has get popularity. Researchers tend to use HOG algorithm for recognizing objects in images. HOG algorithm is used object recognition with very high success rate. Hardware reinforcement is very important studying on large size and complex images to perform image processing techniques. In this study, it is aimed to implement HOG algorithm on FPGA (Field Effect Gate Array) structure for edge detection in digital images. Hence, HOG algorithm runs on FPGA to recognize different geometrical figures in the images. Objects' vertical and horizontal edges have sharpened using edge detection algorithms to calculate magnitude and angles of the local gradients. The performance of proposed system is observed with very high success rate. (C) 2015 The Authors. Published by Elsevier Ltd.