We propose a robust retrieval using a supervised classifier which concentrates on extracted features. Gray level cooccurance matrix algorithm is implemented to extract the texture features from images. The feature optimization is done on the extracted features to select best features out of it to train the classifier. The classification is performed on the dataset and it is classified into three categories such as normal ,benign and malignant. The query image is classified by the classifier to a particular class and the relevant images are retrieved from the database.