| Autor: |
Bruna A; Image Processing Laboratory, University of Catania, Catania 95125, Italy. bruna@dmi.unict.it, Farinella GM, Guarnera GC, Battiato S |
| Jazyk: |
angličtina |
| Zdroj: |
Sensors (Basel, Switzerland) [Sensors (Basel)] 2013 Feb 18; Vol. 13 (2), pp. 2515-29. Date of Electronic Publication: 2013 Feb 18. |
| DOI: |
10.3390/s130202515 |
| Abstrakt: |
This paper describes both hardware and software components to detect counterfeits of Euro banknotes. The proposed system is also able to recognize the banknote values. Differently than other state-of-the-art methods, the proposed approach makes use of banknote images acquired with a near infrared camera to perform recognition and authentication. This allows one to build a system that can effectively deal with real forgeries, which are usually not detectable with visible light. The hardware does not use any mechanical parts, so the overall system is low-cost. The proposed solution is reliable for ambient light and banknote positioning. Users should simply lean the banknote to be analyzed on a flat glass, and the system detects forgery, as well as recognizes the banknote value. The effectiveness of the proposed solution has been properly tested on a dataset composed by genuine and fake Euro banknotes provided by Italy's central bank. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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