基于ARM的纸币号码识别系统

Paper Currency Number Recognition System Based on ARM

针对纸币号码识别系统需求不断攀升,采用ARM,FPGA技术及接触式图像传感器(CIS)图像采集系统,提出一种实时采集高速图像信息及图像预处理的方法;系统以硬件设计为主,采集到的CIS图像信号经过明暗输出补偿、二阶滤波、模数转换、二值化等前置调理,保存在静态同步内存(SRAM)中,供ARM作进一步图像处理;系统中CIS传感器的时序信号由FPGA设计,实验表明,该识别系统运行稳定可靠,实时性好,集成度高,采集图像清晰,号码识别准确率高。

In view of the increasing demand of recognition system for paper currency,A sort of image acquisition system of paper＇s number with CIS（Contact Image Sensor） based on ARM and FPGA is introduced.A real-time approach is brought out to collecting high-speed image information and image pretreatment.This system is mainly designed of hardware,the collected CIS image signal is saved in the SRAM（synchronous random access memory） through pretreatment of occulting output compensation,secondary filter,analog digital converter and binaryzation,getting ready for further image processing by ARM.The driving signal in CIS is designed by FPGA.The system runs stably and accurately,real-time performance is good,high integration,and the collected image shows clearly.the system runs with highly exact rate on number recognition.