運用影像處理實現鈔票辨識於嵌入式系統

Implementation of Banknotes Recognition on Embedded System Using Image Processing

陳韋宇(Wei-Yu Chen)

指導教授 ： 駱榮欽

國立臺北科技大學/電資學院/電腦與通訊研究所/碩士(2011年)

https://doi.org/10.6841/NTUT.2011.00336

摘要

市場上流通著大量的鈔票，相當多已不堪使用，需由銀行回收，所以銀行必須正確快速剔除這些不堪使用的鈔票。為了快速且有效的辨識鈔票品質，本研究在Linux作業系統上發展準確和有效的嵌入式鈔票品質偵測系統，偵測鈔票的面額、折角及新舊鈔票。針對新台幣，由顏色影像感測器(CIS)讀入S3C6410 667MHz ARM-11嵌入式系統中，對鈔票特徵來辨識鈔票。實驗結果顯示，對於無破損的台幣鈔票，折角的平均辨識率達97%，面額的平均辨識率達96%，每分鐘約360張。

關鍵字

鈔票識別 ； 嵌入式系統

並列摘要

For a lot of circulations of banknotes on market, most of the banknotes are unserviceable and the banks need to recycle or to reject these unusable banknotes. To recognize the banknotes fast and effectively, in this study, we develop a banknote recognition embedded system on Linux that is precise and efficient. The banknote recognition functions include banknote denomination, beveled edge of banknote and new/old of a banknote for New Taiwan Dollar. In the study, the banknotes are fed together into a Multi-slot Machine Banknote Sorter. Banknotes are scanned one by one from Contact Image Sensor (CIS) to ARM embedded system by the machine. Then, the banknote is recognized according to several features like banknote denomination, shapes of edges and brightness of the banknote image. Several experimental results are also included to show the average recognition speed is 360 banknotes per minute, success rate of beveled edge is over 97% and success rate of denomination is over 96% for undamaged banknotes.

並列關鍵字

Banknote Recognition ； Embedded System

參考文獻

[3]Ying Che Kuo and Hsuan Wen Chen, “Vision-based Vehicle Detection in the Nighttime,” 2010 International Symposium on Computer, Communication, Control and Automation, Jul. 2010.

[6] 江雅雯，值基於色彩及紋理分析之鈔票偵測系統，碩士論文, 私立中原大學資訊工程所，台灣，中華民國九十五年。

[17]黃識峰，應用機器視覺於鈔劵防偽功能檢測，碩士論文，國立臺北科技大學自動化科技研究所，台灣，中華民國九十六年。

[1]行政院金融監督管理委員會銀行局，http://www.fscey.gov.tw/。

[2]郭士銘、曾佩宸、黃文祥，嵌入式車牌辨識系統， 2007全國計算機會議，中華民國九十六年。