An Empirical Comparison of Three Object Recognition Methods

In this paper an attempt has been made to compare three different approaches of Object Recognition namely, Gradient based, Histogram based and Texture based methods. For a realistic approach common household articles with uniform colour properties have been taken up for this study, instead of standard images. An evaluation of the comparative study has been made and the results have been tabulated. We believe that this study will be useful in choosing the appropriate approach in object recognition for service robots. In this paper, we evaluate an object recognition system building on three types of method, Gradient based method, Histogram based method and Texture based method. These methods are suitable for objects of uniform color properties such as cups, cutlery, fruits etc. The system has a significant potential both in terms of service robot and programming by demonstration tasks. This paper outlines the three object recognition system with comparison, and shows the results of experimental object recognition using the three methods.