lossy/lossless farsi/arabic printed binary text image compression based on enhanced pattern matching

in this paper a lossless/lossy enhanced pattern matching (epm) method is proposed for farsi/arabic printed binary text image compression that uses the touching nature of characters in theses languages . using this method the library size will decrease and higher compression rate can be achieved. the pm method has been improved to include farsi/arabic texts. for comparison of patterns a generalized distance function is introduced which calculates the amount of similarity of two patterns. also an encoding/transmission order is introduced for low bitrate progressive compression and low visual distortion. the results show that the compression performance of proposed method is up to 6 times better than the conventional pm for farsi/arabic text images.