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Source camera identification issues: forensic features selection and robustness

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journal contribution
posted on 2011-10-01, 00:00 authored by Y Hu, Chang-Tsun LiChang-Tsun Li, C Zhou, Xufeng Lin
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.

History

Journal

International journal of digital crime and forensics

Volume

3

Issue

4

Pagination

1 - 15

Publisher

IGI Global

Location

Hershey, Pa.

ISSN

1941-6210

eISSN

1941-6229

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2011, IGI Global

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