基于CNN的车载车牌识别，基于嵌入式系统的GPU

2017 10th International Conference on Human System Interactions (HSI) Pub Date : 2017-07-17 DOI:10.1109/HSI.2017.8005037

Sanghyeop Lee, Keumyoung Son, Hyuntae Kim, Jangsik Park

{"title":"基于CNN的车载车牌识别，基于嵌入式系统的GPU","authors":"Sanghyeop Lee, Keumyoung Son, Hyuntae Kim, Jangsik Park","doi":"10.1109/HSI.2017.8005037","DOIUrl":null,"url":null,"abstract":"a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.","PeriodicalId":355011,"journal":{"name":"2017 10th International Conference on Human System Interactions (HSI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Car plate recognition based on CNN using embedded system with GPU\",\"authors\":\"Sanghyeop Lee, Keumyoung Son, Hyuntae Kim, Jangsik Park\",\"doi\":\"10.1109/HSI.2017.8005037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.\",\"PeriodicalId\":355011,\"journal\":{\"name\":\"2017 10th International Conference on Human System Interactions (HSI)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 10th International Conference on Human System Interactions (HSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HSI.2017.8005037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 10th International Conference on Human System Interactions (HSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HSI.2017.8005037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 47

摘要

为了在没有检测线的情况下识别车牌号码，采用GPU实现了一个内置系统。深度学习网络使用相对简单的AlexNet来识别车辆的车牌号码。测试结果表明，Jetson TX1车载系统能够有效识别车辆车牌。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Car plate recognition based on CNN using embedded system with GPU

a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 10th International Conference on Human System Interactions (HSI)

自引率

0.00%

发文量