The project presents the image retrieval based on its contents shape and texture analysis. The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military and web image classification and searching. For texture analysis, GLCM in hue and saturation color space is used. It provides the rules that gray scale of a pair of pixels appears in a certain distance away in a certain direction. The retrieval system has implemented for evaluating performance between shape and texture features. This system will be enhanced the texture analysis with lifting wavelet filters for increasing the retrieval accuracy.