Content Based Image Retrieval is the process of identification of similar images present in the database. It consists of retrieving the most visually similar images to a given query image from a database of images. A Feature based approach is employed for the identification of the similar images from the dataset. The features were extracted from the images based on GLCM (Gray-Level Co-Occurrence Matrix) features are extracted from the images. The similarity between the images were measured in-terms of these GLCM features. In this proposed system the input images that is the breast cancer affected and non-affected images are taken from the dataset and these images are tends to preprocessing step. In that preprocessing stage the all the input images are resized into 256 X 256 size. After the preprocessing stage the edge detection process will be perform in that the edges of the images are detected. And the features of the images are extracted using the GLCM method after that feature extraction by using these features the images are classified. For that classification the decision tree classifier is performed. By using the classification results the images are retrieved from the dataset. Based on the query image the images will be retrieved. After that the performance of the system was evaluated using the different images in the dataset.