Text Steganography in Image depending on Radon _ Barker code Transforms

Abstract

Abstract - With the widespread usage of the internet around the world, both public and private data are now widely disseminated on the internet. The security of these online records is a pressing issue that must be addressed immediately. Text watermarking is a technique for adding watermarks to text documents to help preserve their authenticity and credibility. For many years, text watermarking has been a hot topic of research. This paper describes a new method for embedding text in a picture that uses a radon transform-based Barker code to make the device more reliable and ensure that the text is returned without error. The main advantages of this research are the high security and the big capacity of data to be hiding since the use of radon transform is very helpful in extracting the data. All the image noise does not effect on the stego-image except the paper and salt noise effect on Root Mean Square (RMS) since its value is 0.274 and contract enhancement effect on RMS and Mean Square Error (MSE) by the values 0.586 and 0.343 respectively. Also the SSIM value is very acceptable since there is an obvious similarity between the original image and the stego-image (after stegonagraphy process).