Saliency based modified chamfers matching method for sketch based image retrieval

Recent advances of tablet PC and multi-touch screen technology raised increasing interest on users search and retrieve the desired images in databases in a simple manner. Sketch based image retrieval (SBIR) emerged as a more expressive and interactive way to perform image search. Our focuses on this work is to enhance the methods of Indexable Oriented Chamfer Matching using salient feature detection algorithms. As per psychologist observation, edge is one of the most dominant feature of an image to represent the content. Prioritization is done based on edge content of image by ignoring parameters like color, texture. Experiments are done in benchmark dataset of [11] demonstrate the better performance of our approach.