A content based image retrieval system using shape analysis

Image retrieval is a process of retrieving the similar images from a huge dataset. The retrieving of images is done based on the query image and the matched feature with the dataset images. In this paper we have proposed a novel method for efficient retrieval using shape analysis of the query and dataset images. The key points of the work are detection of shape and extraction of the features based on the shape. The extracted features are trained by using the support vector machine classification method. The simulation results show the accuracy of the proposed system as 96.69%.