The imaging recognition of spurious coins by artificial neural network

碩士 === 國立臺灣海洋大學 === 輪機工程系 === 95 === Traditionally, the method of recognizing spurious coins depends on the experience of antiquarian expert by examining the feature of coin. However, it is not difficult to fake the spurious coins by the technique of modern manufacture technology under the condition...

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Bibliographic Details
Main Authors: Yi-Cih Jheng, 鄭亦詞
Other Authors: Jang-Ping Wang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/84979477280585608802