Zernike moment based robust hashing image authentification method

Abstract

The invention discloses a robustness harce image identification method based on Zernike matrix in the image identification technique field. The selection of the image character is the key procedure in the harce algorism. The invention regards Zernike matrix as the character of the image and identifies the image by getting the randomized image harce value and comparing with the image harce value among Zernike matrix. The method achieves the steady of harce algorism with the inalterability of Zernike, which provides the operation steady of rotating the image, compressing JPEG, increasing the noise and filtering, and can identify the malicious falsification.

Description

technical field

[0001] The invention belongs to the technical field of digital image authentication, and in particular relates to a Zernike moment-based robust hash image authentication method. Background technique

[0002] One of the important criteria of digital image signature technology is the robustness of the system. That is to say, in view of the particularity of digital images, the system is required to be able to make accurate judgments on malicious tampering, and also to be able to accept general changes in images, such as noise addition, geometric transformation, filtering, compression, etc. From the process analysis of image authentication, if the appropriate features can be extracted, the goal of the system can be achieved, and the existing complete system can be used to be more compatible with the system that has been put into use. At present, scholars from various countries have tried different image features, from low-level image features, such as color, tex...

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