Vol. 4 (03) pp. 1082-1087

A NOVEL IMAGE HASHING USING INVARIANT VECTOR DISTANCE WITH RING PARTITION.

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  • Asst.Professor/Department of CSE, Sir Issac Newton College of Engineering and Technology, Nagapattinam, Tamil Nadu, India.
  • UG Scholar/Department of CSE, Sir Issac Newton College of Engineering and Technology, Nagapattinam, Tamil Nadu, India.
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Abstract

The image hashing is one of the most important technique in the multimedia security. The visually identical images provides more similar hash values. The hash values of an image can be calculated based on the features of an image such as texture, color, purity, intensity, brightness etc. In this paper we have to analyze the hacked image by comparing hash values of visually similar images which has the slight modifications. For this analysis we use ring partition method for detecting the temper from the original image. The features are extracted from image based on ring manner. After generating the hash values, they are compared with hash value of original image to determine the attacked image. In addition we achieve rotation robustness in our proposed scheme. In future we use watermarking concept for enhance the security.

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How to Cite This Article

S. Nithyadhevi, P. Sindhu, R. Vincy Rooth and R. Gomathi. (2016); A NOVEL IMAGE HASHING USING INVARIANT VECTOR DISTANCE WITH RING PARTITION., Int. J. of Adv. Res., 4 (03), 1082-1087, ISSN 2320-5407.

Corresponding Author

P.Sindhu,R.Vincy Rooth,R.Gomathi

Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.