Hu, Y. and Li, Chang-Tsun (2010) Selecting forensic features for robust source camera identification. In: International Computer Symposium 2010, Tainan, Taiwan, 16-18 Dec, 2010

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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, we first build a sample camera classifier using a combination of popular image features, and then reveal its deficiency. Based on our experiments, suggestions for the design of robust camera classifiers are given.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Date:	December 2010
Identification Number:	10.1109/COMPSYM.2010.5685458
Status:	Not Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	International Computer Symposium 2010
Type of Event:	Conference
Location of Event:	Tainan, Taiwan
Date(s) of Event:	16-18 Dec, 2010
Related URLs:	Other Repository
URI:	http://wrap.warwick.ac.uk/id/eprint/47437

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