Abstract
Image Retrieval is the process of retrieving the most closely matched images automatically by extracting the basic features such as edge, shape, color and textures from the query image. The proposed image retrieval system is used texture feature by using grey – level co-occurrence matrix (GLCM) and Color Co – occurrence matrix (CCM). The GLCM and CCM separately combined with a color feature with the use of quantization of HSV color space. The multi-feature extraction is achieved through the Euclidean distance classifier. The proposed system performance is also measured by conducting experiments in different ways.