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Forensic Authentication of Bank Checks

Abstract : This chapter describes an automated methodology for the forensic authentication of bank checks. The problem of check authentication is modeled as a two-class pattern recognition problem. Color and texture features are extracted from images of genuine and counterfeit checks. A support vector machine is utilized to determine check authenticity. Classification experiments involving a dataset of 50 bank checks yielded a detection accuracy of 99.0%. The automated methodology can be used by non-specialist personnel to detect check counterfeiting in a banking environment where large numbers of checks are handled on a daily basis.
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Rajesh Kumar, Gaurav Gupta. Forensic Authentication of Bank Checks. 12th IFIP International Conference on Digital Forensics (DF), Jan 2016, New Delhi, India. pp.311-322, ⟨10.1007/978-3-319-46279-0_16⟩. ⟨hal-01758675⟩

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