An empirical approach for currency identification

Author:

Yan Wei Q.,Chambers J.,Garhwal A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference17 articles.

1. Bender KW (2006) Moneymakers. The secret world of banknote printing. Wiley-VCH, Weinheim

2. Bu-Qing C, Jian-Xun L (2010) Currency Recognition Modeling Research Based on BP Neural Network Improved by Gene Algorithm, in Second International Conference on Computer Modeling and Simulation (ICCMS’10), vol.2, pp 246–250

3. Chae S-H, Kim JK, Pan SB (2009) A Study on the Korean Banknote Recognition Using RGB and UV Information, in Communication and Networking, Series of Communications in Computer and Information Science. Springer Berlin Heidelberg, vol.56, pp 477–484

4. Chambers J (2012) Digital Currency Forensics, Masters Thesis, Auckland University of Technology, New Zealand

5. Chang F-C, Huang H-C (2012) A refactoring method for cache-efficient swarm intelligence algorithms. Inf Sci 192(1):39–49

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