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- Title
Artificial neural network approach to authentication of coins by vision-based minimization.
- Authors
Jang-Ping Wang; Yi-Cih Jheng; Guo-Ming Huang; Jen-Hsien Chien
- Abstract
new inspection system, consisting of two procedures for the authentication of coins, is proposed in this paper. In the first procedure, optimum image-matching positions are found by minimizing the matching error of the test coins with their prototype coins. The second procedure is the decision-making process that inspects the coins as genuine or spurious by the Back-Propagation Neural Network combined with the concept of eigen-section. Unlike the traditional approach based on gray-level values, the quantity (8 bits) of the color's scale has been adopted. The discrimination results are presented and discussed in this study.
- Subjects
COINS; ARTIFICIAL neural networks; AUTHENTICATION (Law); OPTICAL measurements; DECISION making
- Publication
Machine Vision & Applications, 2011, Vol 22, Issue 1, p87
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-009-0197-8