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高效高精度车牌识别系统

发表时间:2021-01-08  浏览量:372  下载量:76
全部作者: 刘曜溪,徐志强,黄太一,谷文启,李蕴晖,杜高明
作者单位: 合肥工业大学电子科学与应用物理学院
摘 要: 提出一种基于整数比例算法识别和卷积神经网络(convolutional neural network,CNN)相结合的高效高精度车牌识别系统,通过图像预处理模块对图像进行二值化、切割和缩放,通过坐标生成模块进行坐标检测,采用CNN对预处理的图片进行识别。实验结果表明,该系统根据车牌字符比较规则的特点,缩减了网络模型的复杂度,车牌的识别准确率和识别速度均有所提高。
关 键 词: 电子技术;车牌识别系统;硬件加速器;卷积神经网络;FPGA
Title: High efficiency and high precision license plate recognition system
Author: LIU Yaoxi, XU Zhiqiang, HUANG Taiyi, GU Wenqi, LI Yunhui, DU Gaoming
Organization: (School of Electronic Science & Applied Physics, Hefei University of Technology
Abstract: A high efficiency and high precision license plate recognition system based on the integer ratio algorithm recognition combined with convolutional neural network (CNN) is proposed. The image is binarized, cut and scaled through the image preprocessing module, coordinate detection is completed in the coordinate generation module, and then the image preprocessed is identified by the CNN. The experimental results show that the system reduces the complexity of the network model according to the characteristic that the characters on the license plate are relatively regular, and the recognition accuracy and speed for the license plate are improved.
Key words: electronic technology; license plate recognition system; hardware accelerator; convolutional neural network; FPGA
发表期数: 2020年12月第4期
引用格式: 刘曜溪,徐志强,黄太一,等. 高效高精度车牌识别系统[J]. 中国科技论文在线精品论文,2020,13(4):456-464.
 
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