Chinese Textual Image Compression Based on Multi-feature Extraction
Gao Liangcai · Beijing Daxue Xuebao. Zirankexueban · 2010
Based on the characteristics of Chinese textual images,an improved compression algorithm MC-JBIG2 is developed.First,multilevel feature data of Chinese characters are extracted;then the data are used in a cascaded clustering algorithm to replace the pattern matching procedure of JBIG2.Experiment results show MC-JBIG2 is highly efficient and can improve compression ratio in the criterion of not involving substitution errors.Despite designed for Chinese textual images,MC-JBIG2 can also improve compression ratio of English textual images.