Abstract

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