Development signature steganography model using binary image

Steganography as the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. Being classified under information security. Current days, computers and networks technologies provide an easy method to use communication channels for steganography. Moreover, lately, manual and electronic signatures became one of the important topics in the daily life. To prevent unauthorized use of these signatures and allows any pair of users to communicate securely. Therefore, this thesis presents a signature steganography model based on binary images. However, hiding the data in binary images without visible defects increases the difficulty of this method, because the pixel take on only a limited number of values. This method hides secret signature data inside cover image depending on changing low level features technique ( such as flipping a black pixel to white or vice versa) in order to obtain the stego signature image. Then, the hidden signature can be extracted without using the original image. The performance of the proposed model has been successfully tested using computer programs.