1Department of Computer Science, College of Engineering, University of Shahed Tehran, Iran.
2Department of Computer Science, College of Science, University of Tehran, Tehran, Iran.
3Department of Computer Science, College of Engineering, University of Shahed
In this paper, we proposed a data-hiding scheme based on Run length matrix. In a previously proposed method, a technique based on texture classification was introduced where four statically features extracted from run length matrix; then best cover images are selected based on these features. Using appropriate features for comparing images from undetectability viewpoint, guarantees, less detectability of stego images and consequently, enhances security of the steganography algorithms. Based on this idea, in this paper, more features are extracted from run length matrix to select the best covers. Our method is examined with feature based and wavelet based steganalysis algorithms. The results illustrate the effectiveness and benefits of the proposed method.