Pattern Analysis Applied on Steganalysis for Binary Text Images

This paper studied the application of pattern analysis on steganalysis for binary text images, and proposed a novel steganalysis algorithm based on pattern analysis. The idea of image "pattern" was proposed originally through deep investigating all kinds of information hiding and steganalysis algorithms. Firstly the patterns were divided into three categories according to human visual effect for flipping center pixel of the patterns, so established the best embedding pattern storehouse for binary images. Then statistically analyzed the patternpsilas changing characteristics before and after embedding message, thus proposed a steganalysis algorithm based on pattern analysis. The experiments prove the algorithm is an effective steganalysis algorithm for detecting secret message in binary text images.