一种基于遗传算法和BP网络的鲁棒图像哈希方法

doi:10.3969/j.issn.0255-8297.2016.05.006

Abstract

Abstract:

This paper presents a robust image-hashing scheme based on genetic algorithm (GA) and back propagation (BP) neural network for content authentication. Lifting wavelet transform and discrete Fourier transform are used to extract the image's amplitude spectrum and phase spectrum information to create an image feature matrix. A GA-BP network model is established, and used to generate an image Hash sequence for content authentication. Experimental results show that the proposed Hashing method is robust against content-preserving operations such as random attack, rotation, JPEG compression and additive Gaussian noise. The proposed approach is significantly superior to other algorithms in terms of robustness and discrimination.

Key words: genetic algorithm, BP neural network, discrimination, image Hashing

CLC Number:

TN391

JIANG Cui-ling, LIN Jia-jun. Robust Image Hashing Based on Genetic Algorithm and BP Network[J]. Journal of Applied Sciences, 2016, 34(5): 537-546.

References

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Robust Image Hashing Based on Genetic Algorithm and BP Network

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