Design and Implementation of Handwritten Mongolian Script Conversion System Based on FPGA
Mongolian script conversion plays a pivotal role in promoting the application and dissemination of the Mongolian script,enriching the diversity of Chinese culture,and fostering economic prosperity in Mongolian regions.Aimed at the poor efficiency and accuracy of Mongolian script conversion,this paper proposes a method based on lightweight convolutional neural network(CNN)and FPGA hardware accelerator The CNN is used to carry out the handwritten Mongolian script recognition,and combined with the font conversion library,a simple and efficient Mongolian font conversion is achieved through the mapping relationship between the recogni-tion results and the fonts.This approach has the advantages over other methods in the efficiency of the CNN and FPGA hardware ac-celerator,improving the conversion efficiency while meeting the requirements of device cost,power consumption,and portability.The circuit of network model is designed and optimized by using Xilinx's XC7Z020CLG400-2 chip.On this basis,a handwritten Mon-golian font conversion system was implemented.Test results show an accuracy of 95.62％for converting the handwritten Mongolian script to the target font,with a conversion time of 1.43 ms,a power consumption of 0.341 W,and a peak throughput of 6.64 Gops for the accelera-tor.It is of significance for the research results to promote the preservation of Mongolian culture and economic development.
Mongolian script conversionFPGA acceleratorlow-power system
万方数据
维普
