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
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
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 . DOI: 10.3969/j.issn.0255-8297.2016.05.006
[1] Ahmed F, Siyal M Y, Abbas V U. A secure and robust Hash-based scheme for image authentication[J]. Signal Processing, 2010, 90(5): 1456-1470.
[2] Monga V, Evans B L. Perceptual image Hashing via feature points: performance evaluation and trade-offs [J]. IEEE Transactions on Image Processing, 2006, 15(11): 3452-3465.
[3] Sumalatha L, Krishna V V, Kumar V V. Local content based image authentication for tamper localization [J]. International Journal of Image, Graphics and Signal Processing, 2012, 4(9): 30-36.
[4] Zhao Y, Wang S, Zhang X, Yao H. Robust Hashing for image authentication using Zernike moments and local features [J]. IEEE Transactions on Information Forensics and Security, 2013, 8(1): 55-63.
[5] Swaminathan A, Mao Y, Wu M. Robust and secure image hashing [J]. IEEE Transactions on Information Forensics Security, 2006, 1(2): 215-230.
[6] 张敏. 基于图像内容认证的感知哈希算法的研究[D]. 长沙:湖南大学,2010.
[7] 胡聪. 安全图像哈希认证算法的研究[D]. 广州:中山大学,2009.
[8] Monga V, Kivanc M. Robust and secure image Hashing via non-negative matrix factorizations[J]. IEEE Transactions on Information Forensics and Security, 2007, 2(3): 376-390.
[9] Tang Z J, Zhang X Q, Zhang S C. Robust perceptual image Hashing based on ring partition and NMF [J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(3): 711-724.
[10] Wang X F, Pang K M, Zhou X R, Zhou Y, Li L, Xue J R. A visual model based perceptual image Hash for content authentication [J]. IEEE Transactions on Information Forensics and Security, 2015, 10(7): 1336-1349.
[11] 刘凯,唐振军,张显全,俞春强. 联合压缩感知和颜色向量角的彩色图像哈希方法[J]. 应用科学学 报,2015, 33(6): 595-603. Liu K, Tang Z J, Zhang X Q, Yu C Q. Color image Hashing with compressive sensing and color vector angle [J]. Journal of Applied Sciences, 2015, 33(6): 595-603. (in Chinese)
[12] 王德明,王莉,张广明. 基于遗传BP 神经网络的短期风速预测模型[J]. 浙江大学学报:工学 版,2012, 46(5): 837-841. Wang D M, Wang L, Zhang G M. Man-machine function allocation for cockpit based on genetic BP neural network [J]. Journal of Zhejiang University: Engineering Science, 2012, 46(5): 837-841. (in Chinese)
/
| 〈 |
|
〉 |
