基于FPGA和DSP的人民币图像鉴别平台设计

实现了一种高速采集、实时处理、适用于新国标A类机的人民币图像鉴别处理平台。该平台采用ADC量化CIS的输出作为系统输入,FPGA、DSP作为处理核心,得到的人民币信息被发送到鉴别仪的主控模块作为真假币的判别依据。该系统可以以子系统形式整合到鉴别仪中,具有很好的应用前景、良好的可升级性和鲁棒性。

Design of bank note image identification platform based on FPGA and DSP

This paper proposes an A-class platform of bank note image identification based on FPGA and DSP,featured highspeed acquisition,real-time processing with the background of a practical project.The platform uses the outputs from CIS,quantized by ADC,as system inputs,FPGA and DSP as system processor,then transmits the bank note information to main controller of bank note discriminating device as hints of counterfeit currency.It can be integrated into the bank note discriminating device as a sub-module and has a bright prospect in application,as well as good scalability and stability.