A Comparative Study of Object Recognition Techniques

Abstract

Object recognition is one of the research areas which has always attracted the attention of the researchers and research community because of its varied application in automation, biometrics, medical diagnosis, surveillance and security systems, defence, Content-based Image Retrieval (CBIR), robotics and intelligent vehicle systems. Though a vigorous research is going on in this field but issues like scale, rotation, illumination invariance, and occlusion, pose and position estimation of objects still draw the attention of researchers. In this paper we have tried to give an overview of the contemporary state of art techniques mainly Feature-based approaches along with the most recent and effective techniques been applied in this area. We have implemented SIFT on COIL dataset and have tried to give a comparative analysis of these techniques.