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Indexed by:Journal Papers

Date of Publication:2015-12-31

Journal:KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

Included Journals:SCIE、EI、Scopus

Volume:9

Issue:12

Page Number:5087-5102

ISSN No.:1976-7277

Key Words:Image forensics; cell phone source identification; classifier combination; interpolation coefficient

Abstract:Rapid popularization of smart cell phone equipped with camera has led to a number of new legal and criminal problems related to multimedia such as digital image, which makes cell phone source identification an important branch of digital image forensics. This paper proposes a classifier combination based source identification strategy for cell phone images. To identify the outlier cell phone models of the training sets in multi-class classifier, a one-class classifier is orderly used in the framework. Feature vectors including color filter array (CFA) interpolation coefficients estimation and multi-feature fusion is employed to verify the effectiveness of the classifier combination strategy. Experimental results demonstrate that for different feature sets, our method presents high accuracy of source identification both for the cell phone in the training sets and the outliers.