Adaptive feature selection for digital camera source identification

Min-Jen Tsai*, Cheng Sheng Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

12 引文 斯高帕斯(Scopus)

摘要

Digital forensics which identifies the characteristics and the originality of the digital devices has lately become one of the very important applications. If it wants to serve as the evidence to the court like its traditional counterparts, the digital forensics issues like verifying the authenticity of digital image, detecting the forged regions or identifying digital camera source of an image will need to be addressed. This study has focused on analyzing the relationship between digital cameras and the photographs by using the support vector machine (SVM). In this paper, several feature selection algorithms will be implemented with SVM-based classifier to increase the predicting accuracy rate of identifying digital camera source of an image. The experiment results demonstrate that our adaptive feature selection scheme can achieve higher identification rate for unbiased camera sources than the results without using feature selection approaches.

原文English
主出版物標題2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
頁面412-415
頁數4
DOIs
出版狀態Published - 2008
事件2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
持續時間: 18 5月 200821 5月 2008

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

Conference

Conference2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
國家/地區United States
城市Seattle, WA
期間18/05/0821/05/08

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