Image data-deduplication using the block truncation coding technique

In this paper, we have CBIR, which is known as Content based Image Retrieval is the application of computer vision technique to the image retrieval problem from the large databases. In this paper de-duplication of electricity bills is done through CBIR. The technique for comparing the images is Block truncation coding; it is a lossy compression technique for grayscale image. So Photograph of electricity was divided into different block size using a compression technique known as Block Truncation coding. On the basis of block size, we will put images of the same block size in the same cluster. As there will be large block, so they will be divided into chunks of data. Through this experiment we will try to remove duplicates in the same cluster. In this paper the block of data is also divided into different chunks, so that image of single instance can be stored in these chunks. So duplication will be improved with the help of compression techniques discussed in detail.