Abstract: Visual cryptography is a secret sharing scheme which uses images distributed as shares such that, when the shares are superimposed, a hidden secret image is revealed. In extended visual cryptography, the share images are constructed to contain meaningful cover images, thereby providing opportunities for integrating visual cryptography and biometric security techniques. In this paper, we propose a method for processing halftone images that improves the quality of the share images and the recovered secret image in an extended visual cryptography scheme for which the size of the share images and the recovered image is the same as for the original halftone secret image. The resulting scheme maintains the perfect security of the original extended visual cryptography approach. It is another form of cryptography in which secret communication is done in the form of images. This can be used to protect the biometric templates in which the decryption doesn’t require any complex computations; it is done by human visual system. Using this visual cryptography the biometric data capture from the authorized user. This original image is divided into two shares .Each share stored in two different databases. When both images are simultaneously available then only we can get the original image. The individual share do not reveal any information about the original image.
Keywords: cryptography, image processing, visual cryptography, secret sharing.
Title: Extended Visual Cryptography for Halftone Images without Pixel Expansion
Author: Prof. Deepali Ahir, Vidya Mahadik, Rani Sangale, Pooja Murame
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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