收稿日期: 2016-07-30
修回日期: 2016-08-17
网络出版日期: 2016-09-30
基金资助
国家自然科学基金（No.61371150）资助
Robust Image Hashing Based on Genetic Algorithm and BP Network
Received date: 2016-07-30
Revised date: 2016-08-17
Online published: 2016-09-30
蒋翠玲, 林家骏 . 一种基于遗传算法和BP网络的鲁棒图像哈希方法[J]. 应用科学学报, 2016 , 34(5) : 537 -546 . DOI: 10.3969/j.issn.0255-8297.2016.05.006
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
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