A platform for bank note image identification based on FPGA and DSP

This paper proposes an A-class platform of bank note image identification based on FPGA and DSP, featured high-speed acquisition, real-time processing with the background of a practical project. The characteristics of the bank note are transmitted to the main controller of bank note discriminating device to help it decide whether the bank note is counterfeit or not. Our platform includes two CISs, three ADCs, one FPGA and one DSP. The system analysis and design method is discussed. The result and performance of the platform is presented. 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.