{"title":"基于Android平台的车牌自动识别系统的研究与设计","authors":"Pengjie Huang, Weiyi Wang","doi":"10.1109/ITOEC53115.2022.9734636","DOIUrl":null,"url":null,"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.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Design of Automatic License Plate Recognition System Based on Android Platform\",\"authors\":\"Pengjie Huang, Weiyi Wang\",\"doi\":\"10.1109/ITOEC53115.2022.9734636\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":127300,\"journal\":{\"name\":\"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITOEC53115.2022.9734636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITOEC53115.2022.9734636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Design of Automatic License Plate Recognition System Based on Android Platform
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.