CCIGS: A Data Compression System for Chinese Fonts and Binary Images Using Classification Techniques

To achieve a high compression ratio when storing a large amount of Chinese characters is a problem in applications using Chinese characters. In this paper, we present a data compression software system which can reduce the storage requirement of Chinese characters and binary images. This system is composed of a Chinese font compressing subsystem and a binary image compressing subsystem. In the Chinese font compressing subsystem we have improved the traditional methods of feature extraction and classification techniques so as to achieve a high compression ratio in the compression of Chinese characters. Based on the technique of this subsystem, we have combined the block segmentation technique to compress a binary image. In addition to achieving a good data compression ratio the encoding-decoding process is computationally very efficient in our system. We also show that with our system the quality and accuracy of the reconstructed pattern and image are very close to those of the original pattern and image.