摘要
为满足符号识别系统对实时性、低功耗和小型化的要求,该文设计了一种以FPGA为系统核心,辅以OV7670视频采集模块和VGA接口显示器,实现对基本图形、数字和英文字母进行识别及结果显示。其中,对图像的处理及符号识别部分由FPGA完成,包括IIC摄像头配置、缓存、灰度处理、中值滤波、根据特征识别基本图形和数字、根据字模匹配程度识别英文字母、VGA显示等,充分利用FPGA的高速并行处理的特点,结合片内RAM高速处理和片外SDRAM大容量特性,实现对视频数据的处理和存储。同时,系统具有抗干扰性较强、小巧、通用性强等特点,可扩展为人工智能、车牌识别等系统使用。
In order to satisfy the real-time, low-power and miniaturization requirements of symbol recognition system, a system isdesigned based on FPGA, supplemented by OV7670 video acquisition module and VGA interface displayer to realize the recogni-tion of basic graphics, numbers and English letters. The image processing and symbol recognition part is completed by FPGA, in-cluding IIC camera configuration, buffer, gray processing, median filtering, recognition of basic graphics and numbers according tofeatures, recognition of English letters according to the degree of font matching, VGA display and so on. The features of high-speedand parallel processing ability of FPGA are fully utilized in combination with high-speed RAM on chip and large capacity of off-chip SDRAM to achieve the processing and storage of video data. At the same time, the system has strong anti-interference, com-pact, versatility and other characteristics, which can be extended to artificial intelligence, number plate recognition systems.
出处
《电脑知识与技术》
2018年第10X期252-254,共3页
Computer Knowledge and Technology
关键词
FPGA
符号识别
图像处理
中值滤波
FPGA
Symbol Recognition
Image Processing
Median Filtering
