Title :
The Identification Algorithm of Forged Image Based on BP Neural Network
Author :
Xing, Nan ; Zhu, Hong ; Ma, Wenqing ; Dong, Min
Author_Institution :
Fac. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
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.
Keywords :
backpropagation; cameras; image processing; neural nets; watermarking; wavelet transforms; backpropagation; camera fingerprint; digital camera; forged image; identification algorithm; image authenticity; neural network; pattern noise; watermark; wavelet filter; wavelet transform; Digital cameras; Digital filters; Fingerprint recognition; Information filtering; Information filters; Neural networks; Watermarking; Wavelet coefficients; Wiener filter; Working environment noise;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5302690
