A hybrid model for digital camera source identification

Min-Jen Tsai*, Cheng Sheng Wang, Jung Liu

*Corresponding author for this work

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
發行者IEEE Computer Society
頁面2901-2904
頁數4
ISBN(列印)9781424456543
DOIs
出版狀態Published - 1 一月 2009
事件2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
持續時間: 7 十一月 200910 十一月 2009

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
國家Egypt
城市Cairo
期間7/11/0910/11/09

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