A Robust Characterized Decimal Data Compression Algorithm by Using Replace Table (CDDC)

Data compression is a way of altering appendage by encoding or converting the bit formation of a data, in such a path that it exhaust, less space. Character encryption is fair of the same family to data compression which is a typical sample of a character by some genial of the encoding system. Encoding is the action which stands for individual characters using a commensurate encoding system made up with symbols and other types of data. Data compression spread over a huge area of applications incorporate data transmission, data storage, and database technology. In this paper, a data compression technique named CDDC is developed based on a character encoding system. This splits characters based on 3 groups with a number of branches and replaces the table. LZW and Huffman algorithm is used here to determine the comparison with the results of CDDC. The experimental results of the proposed method achieve average compression ratio 0.46 and average saving percentage of 54% which sometimes efficient than LZW and Huffman.