TY - JFULL AU - N. Shanmugapriya and R. Nallusamy PY - 2014/12/ TI - Gaussian Density and HOG with Content Based Image Retrieval System – A New Approach T2 - International Journal of Computer and Information Engineering SP - 2064 EP - 2069 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/10000411 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 95, 2014 N2 - Content-based image retrieval (CBIR) uses the contents of images to characterize and contact the images. This paper focus on retrieving the image by separating images into its three color mechanism R, G and B and for that Discrete Wavelet Transformation is applied. Then Wavelet based Generalized Gaussian Density (GGD) is practical which is used for modeling the coefficients from the wavelet transforms. After that it is agreed to Histogram of Oriented Gradient (HOG) for extracting its characteristic vectors with Relevant Feedback technique is used. The performance of this approach is calculated by exactness and it confirms that this method is wellorganized for image retrieval. ER -