Content description and classification for Image recognition system

In this paper, an heterogeneous image recognition system based on content description and classification is proposed. In this system and for an heterogeneous image database several features extraction methods are used and applied to better describes the images content. The features relevance is tested and improved through support vectors machines (SVMs) classifier of the consequent images index database. The obtained accuracy recognition of proposed system is evaluated on heterogeneous images database using precision/recall curves.