標題: | Adaptive feature selection for digital camera source identification |
作者: | Tsai, Min-Jen Wang, Cheng-Sheng 資訊管理與財務金融系 註:原資管所+財金所 Department of Information Management and Finance |
關鍵字: | correlation;feature selection;image quality metrics;supporting vector machine |
公開日期: | 2008 |
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. |
URI: | http://hdl.handle.net/11536/31231 |
ISBN: | 978-1-4244-2078-0 |
ISSN: | 0271-4302 |
期刊: | PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10 |
起始頁: | 412 |
結束頁: | 415 |
顯示於類別: | 會議論文 |