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Publication details
Authors M.FontaniT.BianchiA.De RosaA.PivaM.Barni
Title A Framework for Decision Fusion in Image Forensics Based on Dempster–Shafer Theory of Evidence
Abstract In this work we present a decision fusion strategy for image forensics. We define a framework that exploits information provided by available forensic tools to yield a global judgment about the authenticity of an image. Sources of information are modeled and fused using Dempster-Shafer Theory of Evidence, since this theory allows to handle uncertain answers from tools and lack of knowledge about prior probabilities better than the classical Bayesian approach. The proposed framework permits to exploit any available information about tools reliability and about the compatibility between the traces the forensic tools look for. The framework is easily extendable: new tools can be added incrementally with a little effort. Comparison with logical disjunction- and SVM- based fusion approaches shows an improvement in classification accuracy, particularly when strong generalization capabilities are needed.
Publication IEEE Transactions on Information Forensics & Security
Typology International Journal Papers
Date April 2013
Other info vol. 8, no. 4, pp. 593-607, 
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