Research and Design of Automatic License Plate Recognition System Based on Android Platform

Pengjie Huang, Weiyi Wang
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Abstract

In order to facilitate the staff to use the mobile phone to quickly and accurately obtain vehicle information to complete the vehicle inspection, based on the research of digital image processing technology and convolutional neural network theory, an automatic vehicle license plate recognition system which uses the open source computer vision library Opencv and the deep neural network framework Tensorflow based on the Android platform is developed. This system completes the tasks of finding the position of the license plate of the vehicle, segmenting and recognizing the characters of the license plate. Experiment results show that this system has a certain adaptability and a good license plate recognition effect.
基于Android平台的车牌自动识别系统的研究与设计
为了方便工作人员使用手机快速准确地获取车辆信息,完成车辆检查,在研究数字图像处理技术和卷积神经网络理论的基础上,开发了基于Android平台的基于开源计算机视觉库Opencv和深度神经网络框架Tensorflow的车辆车牌自动识别系统。该系统完成了车辆车牌位置定位、车牌字符分割和识别等任务。实验结果表明,该系统具有一定的适应性和良好的车牌识别效果。
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