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《Journal of Southwest China Normal University(Natural Science Edition)》 2014-05
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On Banknote Sorting System Design Based on Image Processing Technology

LIU Chun-hua;HE Yong;School of Computer and Information Technology,Xinyang Normal University;Dept.of Computer Science,Xinyang Agriculture &Forestry University;  
Banknotes automatic sorting system can effectively improve work efficiency of a bank,for automatic banknote processing system,recognition accuracy of banknotes automatic sorting system based on image processing technology is critical.Based on theoretical knowledge of machine vision and pattern recognition,and combined with the features of RMB,paper currency recognition based on image processing method,based on the"rewards"feature extraction algorithm of linear sensor mechanism and serial number module method are proposed.After tilt correction,local feature extraction,gray enhancement and image block of banknotes image,the above method is applied to an image processing system based on CIS sensor, experimental results show that the method has a high recognition accuracy,achieves the desired effect of automatic banknotes sorting.
【CateGory Index】: TP391.41
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