%0 Conference Proceedings
%T Detecting Counterfeit Currency and Identifying Its Source
%+ Indraprastha Institute of Information Technology [New Delhi] (IIIT-Delhi)
%A Sarkar, Ankit
%A Verma, Robin
%A Gupta, Gaurav
%Z Part 8: ADVANCED FORENSIC TECHNIQUES
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 9th International Conference on Digital Forensics (DF)
%C Orlando, FL, United States
%Y Gilbert Peterson
%Y Sujeet Shenoi
%I Springer
%3 Advances in Digital Forensics IX
%V AICT-410
%P 367-384
%8 2013-01-28
%D 2013
%R 10.1007/978-3-642-41148-9_24
%K Counterfeit currency
%K detection
%K Indian rupees
%Z Computer Science [cs]Conference papers
%X Counterfeit currency varies from low quality color scanner/printer-based notes to high quality counterfeits whose production is sponsored by hostile states. Due to their harmful effect on the economy, detecting counterfeit currency notes is a task of national importance. However, automated approaches for counterfeit currency detection are effective only for low quality counterfeits; manual examination is required to detect high quality counterfeits. Furthermore, no automatic method exists for the more complex – and important – problem of identifying the source of counterfeit notes. This paper describes an efficient automatic framework for detecting counterfeit currency notes. Also, it presents a classification framework for linking genuine notes to their source printing presses. Experimental results demonstrate that the detection and classification frameworks have a high degree of accuracy. Moreover, the approach can be used to link high quality fake Indian currency notes to their unauthorized sources.
%G English
%Z TC 11
%Z WG 11.9
%2 https://inria.hal.science/hal-01460616/document
%2 https://inria.hal.science/hal-01460616/file/978-3-642-41148-9_24_Chapter.pdf
%L hal-01460616
%U https://inria.hal.science/hal-01460616
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9
%~ IFIP-AICT-410