The Identification Algorithm of Forged Image Based on BP Neural Network

被引：0
|
作者：
Xing, Nan [1 ]
Zhu, Hong [1 ]
Ma, Wenqing [1 ]
Dong, Min [1 ]
机构：
[1] Xian Univ Technol, Fac Automat & Informat Engn, Xian, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
pattern noise; region of interest; wavelet transform; BP neural network; EXPOSING DIGITAL FORGERIES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the characteristics of a class of pattern noise existing in a wide range of digital camera, which are called camera fingerprint, will be detected with a wavelet filter. Then the camera fingerprint models used to identify the authenticity of images is established by way of BP neural network. With this algorithm, it is not necessary to embed watermark into the images, and the results of identifying images that are forged with copy, paste and other common methods are effective.
引用
收藏
页码：2701 / 2704
页数：4
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