WAGBIR: Wavelet and Gabor Based Image Retrieval Technique for the Spatial-Color and Texture Feature Extraction Using BPN in Multimedia Database

Pioneering approaches that are effectual and conducive involved in the retrieval of information accessible on the World Wide Web. The distinct features can be used for the retrieval process, but the problem is to how to integrate the feature values. The peculiar features such as texture and color are used for exhibiting the content of an image. In this paper, we introduce a Wavelet and Gabor based Image Retrieval (WAGBIR) system, a Neural Network based architecture for content based image retrieval. This technique uses wavelet transform and Gabor filters features for repository image representation. To enhance factual resemblance match between images Back Propagation Neural network (BPNN) is presented, which guarantees the retrieval of images in an efficient way. To elaborate the effectiveness of the presented work, the proposed method is compared with several existing CBIR systems, and it is proved that the proposed method has performed better than all of the comparative systems.