Summary:
Counterfeit currency varies from a 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 practical only for low-quality counterfeits; manual examination is required to detect high-quality counterfeits. Furthermore, no automatic method exists for the more complex – and essential – the problem of identifying the source of counterfeit notes. This paper describes an efficient, intuitive framework for detecting fake 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 link high-quality fake Indian currency notes to their unauthorized sources.
Publication Type: Conference
Publication Date: Jan 29th, 2013
Publisher: Advances in Digital Forensics IX – 9th IFIP WG 11.9 International Conference on Digital Forensics
Author(s): Ankit Sarkar, Dr. Guarav Gupta, Dr. Robin Verma
Links: