Abstract

Scanned document compression is needed to store the conventional paper formats in to digital formats. It can be implemented by digitizing scanned document and then optimized memory through compression process. Scanned document may contain different parts such as text, graphics, image and handwritten text. This method compresses the scanned document based on blocked based pattern matching. Here scanned document is first segmented into the blocks and then each block is processed separately. These blocks are matched with dictionary block, if matched found then only the index of that block is used to encode the original block otherwise parse the original block. In this way whole process is carried out for each block and the whole document is compressed. The flags and dictionary indexes generated are compressed with adaptive arithmetic coding. The quality of reconstructed image is measured on the basis of certain performance parameter such as Peak Signal to Noise Ratio, Mean Square Error, Compression Ratio etc.