Abstract：To solve the problems of accuracy and speed of the fifth set of RMB face value recognition, a design method of RMB face
value recognition system based on MATLAB and image processing technology is given. The collected banknote images are pro-
cessed by five modules: rotation correction, image preprocessing, image positioning, face value cutting and face value recognition.
The experimental results show that the system can accurately calculate the total amount of money input while recognizing the face
value of banknotes quickly in real time.
刘立培 马宇星 逯亚婷 王强 杨壮. 基于M ATLAB 的第五套人民币面值识别系统设计[J]. 电脑与电信, .
LIU Li-pei MAYu-xing LU Ya-ting WANG Qiang YANG Zhuang. The Fifth RMB Face Value Recognition System Design Based on MATLAB. Computer & Telecommunication, 2020, 1(7): 28-31.
