A Combined Graph and Texture Based Approach for Recognition of Animal Contour Images of MPEG-7 Database

Abstract

Animal image recognition, classification and retrieval from a database based on shape features are of research interest in image processing. This paper proposes a combined graph and texture based approach for recognition of animal contour images. The methodology uses texture features of the complete graph image obtained from the contour of an object. MPEG-7 database is used for testing. The recognition accuracy of 96% is achieved and is an improvement over the state-of-the-reported results. The work has potential applications in image retrieval from databases.