Content-based image retrieval has been an active analysis space in past years. Many alternative solutions are planned to boost the performance of retrieval, however, the massive a part of these works have targeted on sub-parts of the retrieval drawback, providing targeted solutions just for individual aspects (i.e., feature extraction, similarity measures, indexing, etc.). The implementation of the CBIR model using the Tamura texture features will be implemented along with classification method features in this project. This model will produce the efficient content-based image retrieval (CBIR) based on robust Tamura texture feature descriptors for the high performance. This model will enable the CBIR query search based upon encrypted feature descriptors using the early termination based method. The CBIR model in the project would be improved by using the multivariate feature descriptors in the perfect amalgamation to enhance the performance of the implemented model.