標題: Using decision fusion of feature selection in digital forensics for camera source model identification
作者: Tsai, Min-Jen
Wang, Chen-Sheng
Liu, Jung
Yin, Jin-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: Camera model identification;Decision fusion;Digital image forensics;Feature selection
公開日期: 1-三月-2012
摘要: Digital forensics, which identifies the characteristics and origin of a digital device, has become a new field of research. If digital content will serve as evidence in court, similar to its non-digital counterparts, digital forensics can play a crucial role in identifying the source model or device. To achieve this goal, the relationship between an image and its camera model will be explored. Various image-related and hardware-related features are utilized in the proposed model by a support vector machine approach along with decision fusion techniques. Furthermore, the optimum feature subset to achieve the highest accuracy rate is also explored. (C) 2011 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.csi.2011.10.006
http://hdl.handle.net/11536/15569
ISSN: 0920-5489
DOI: 10.1016/j.csi.2011.10.006
期刊: COMPUTER STANDARDS & INTERFACES
Volume: 34
Issue: 3
起始頁: 292
結束頁: 304
顯示於類別:期刊論文


文件中的檔案:

  1. 000301471900002.pdf