A Secure Hashing Scheme for Image Authentication Using Zernike Moments and Local Features with Histogram Features

Provided by: International Association of Scientific Innovation and Research (IASIR)
Topic: Security
Format: PDF
A secure hashing scheme is developed for image authentication and finding the forgery regions. The hash can be used to find similar, forged and different images. It can also identify the type of forgery and locate fake regions containing salient contents. The global, local and histogram features are used in forming the hash sequence. The global features are based on Zernike moments representing luminance and chrominance characteristics of the image. The local features contain position and texture information of salient regions in the image.

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