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Source camera identification issues : forensic features selection and robustness
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Hu, Yongjian, Li, Chang-Tsun, Zhou, Changhui and Lin, Xufeng (2011) Source camera identification issues : forensic features selection and robustness. International Journal of Digital Crime and Forensics, Vol.3 (No.4). pp. 1-15. doi:10.4018/jdcf.2011100101 ISSN 1941-6210.
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Official URL: http://dx.doi.org/10.4018/jdcf.2011100101
Abstract
Statistical image features play an important role in forensic identification. Current source camera identification schemes select image features mainly based on classification accuracy and computational efficiency. For forensic investigation purposes; however, these selection criteria are not enough. Consider most real-world photos may have undergone common image processing due to various reasons, source camera classifiers must have the capability to deal with those processed photos. In this work, the authors first build a sample camera classifier using a combination of popular image features, and then reveal its deficiency. Based on the experiments, suggestions for the design of robust camera classifiers are given. Copyright © 2011, IGI Global.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Journal or Publication Title: | International Journal of Digital Crime and Forensics | ||||
Publisher: | I G I Global | ||||
ISSN: | 1941-6210 | ||||
Official Date: | October 2011 | ||||
Dates: |
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Volume: | Vol.3 | ||||
Number: | No.4 | ||||
Page Range: | pp. 1-15 | ||||
DOI: | 10.4018/jdcf.2011100101 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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