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| One-way Scanning Detection of Paper Currency’s Edge in Class A Currency Counting Machine |
| LUO Ying1, GUO Tao1,2, LIU Lin1, HUANG Bing-qun1,2,SONG Yun-cen1, YE Yu-tang1, LIU Yong1 |
1. Lab of MOEMIL, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
2. Chengdu HOLDTECS Co. Ltd., Chengdu, Sichuan 610054, China |
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Abstract A real-time one-way scanning edge detection on a field programming gate array with dual-core digital signal processor platform is proposed to meet the high image processing speed needs of 900 paper currency per minute in class A currency counting machine. Real-time one-way scanning edge detection is used instead of usual 4-way scanning edge detection, and the field programming gate array is used to combine the encoding process of one-dimensional edge information with the process of image acquisition. With the dual-core digital signal processor the edge information can be processed in parallel. And so, the efficiency of the edge detection could be improved greatly. The experimental results show the new method can shorten the tens of milliseconds with the 4-way paper currency edge scanning method to microsecond level. The detection efficiency is increased to 50.5 times of the 4-way scanning edge detection method.
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Received: 24 January 2014
Published: 10 December 2015
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2016, Vol. 37 
