Detecting Counterfeit Currency and Identifying Its Source - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Detecting Counterfeit Currency and Identifying Its Source

Résumé

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.
Fichier principal
Vignette du fichier
978-3-642-41148-9_24_Chapter.pdf (1.88 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01460616 , version 1 (07-02-2017)

Licence

Paternité

Identifiants

Citer

Ankit Sarkar, Robin Verma, Gaurav Gupta. Detecting Counterfeit Currency and Identifying Its Source. 9th International Conference on Digital Forensics (DF), Jan 2013, Orlando, FL, United States. pp.367-384, ⟨10.1007/978-3-642-41148-9_24⟩. ⟨hal-01460616⟩
95 Consultations
2209 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More