we propose a new methodology that will classify the whole dataset and also the given query image. By doing so we can reduce the similarity searching time. In our proposed system the images are categorized by n-class SVM based on the extracted texture and color moment features. Finally we are going to compare the retrieval performance achieved by the classifiers named as KNN and n-class SVM . we compute precision and recall measures for CBIR performance analysis.