Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition
碩士 === 國立中山大學 === 電機工程學系研究所 === 96 === Finding an efficient method to detect counterfeit banknotes is imperative. In this study, we propose multiple kernel weighted support vector machine for counterfeit banknote recognition. A variation of SVM in optimizing false alarm rate, called FARSVM, is propo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/34ghc4 |