TY - GEN
T1 - A hybrid model for digital camera source identification
AU - Tsai, Min-Jen
AU - Wang, Cheng Sheng
AU - Liu, Jung
PY - 2009
Y1 - 2009
N2 - Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the images. In conjunction with image processing techniques and data exploration methods, it calculates the characteristic values of the images taken by different cameras. Training and categorization are conducted through the support vector machines for identifying the camera source of the images. Based on the fact that the internal imaging algorithms of a camera are different from one manufacturer to another, this method computes the hidden characteristics of the images. The result of experiments shows the proposed approach can obtains 94.95% identification rate when images are taken from 20 different cameras.
AB - Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the images. In conjunction with image processing techniques and data exploration methods, it calculates the characteristic values of the images taken by different cameras. Training and categorization are conducted through the support vector machines for identifying the camera source of the images. Based on the fact that the internal imaging algorithms of a camera are different from one manufacturer to another, this method computes the hidden characteristics of the images. The result of experiments shows the proposed approach can obtains 94.95% identification rate when images are taken from 20 different cameras.
KW - Image quality metrics
KW - Photo-response non-uniformity noise
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=77951951894&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5413414
DO - 10.1109/ICIP.2009.5413414
M3 - Conference contribution
AN - SCOPUS:77951951894
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2901
EP - 2904
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 10 November 2009
ER -