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Robustness and discrimination are two of the most important objectives in image hashing. We incorporate ring partition and invariant vector distance to image hashing algorithm for enhancing rotation robustness and discriminative capability. As ring partition is unrelated to image rotation, the statistical features that are extracted from image rings in perceptually uniform color space, i.e., CIE L*a*b*...
Image hashing is one of the emergent novel approaches used extensively in the field of image forensics apart from finding its place in many of the latest techniques of the area of image indexing, image retrieval etc. Image hashing is basically used to identify the duplicate copies of the original images. Most of the image hashing algorithms has their limitations in getting the desirable performance...
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