一种基于垂直边缘的车牌检测新方法

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI:10.1109/ICACC.2015.62

Ashwathy Dev

{"title":"一种基于垂直边缘的车牌检测新方法","authors":"Ashwathy Dev","doi":"10.1109/ICACC.2015.62","DOIUrl":null,"url":null,"abstract":"License plate can be used for identifying vehicle since it is unique for each vehicle. In this paper proposes a fast technique for identifying the vehicle licenseplate. Here first the input image is binarized by adaptive thresholding and then image is enhanced by unwanted-line elimination algorithm (ULEA). Then on applying VEDA vertical edges of the image is detected. Then number of possible candidate license plate region is extracted out of which original LP is detected.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A Novel Approach for Car License Plate Detection Based on Vertical Edges\",\"authors\":\"Ashwathy Dev\",\"doi\":\"10.1109/ICACC.2015.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"License plate can be used for identifying vehicle since it is unique for each vehicle. In this paper proposes a fast technique for identifying the vehicle licenseplate. Here first the input image is binarized by adaptive thresholding and then image is enhanced by unwanted-line elimination algorithm (ULEA). Then on applying VEDA vertical edges of the image is detected. Then number of possible candidate license plate region is extracted out of which original LP is detected.\",\"PeriodicalId\":368544,\"journal\":{\"name\":\"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACC.2015.62\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACC.2015.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

车牌可以用来识别车辆，因为每辆车都是唯一的。提出了一种快速车牌识别技术。首先采用自适应阈值法对输入图像进行二值化处理，然后采用不需要线消除算法对图像进行增强处理。然后应用VEDA检测图像的垂直边缘。然后提取可能的候选车牌区域数量，从中检测原始车牌。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Novel Approach for Car License Plate Detection Based on Vertical Edges

License plate can be used for identifying vehicle since it is unique for each vehicle. In this paper proposes a fast technique for identifying the vehicle licenseplate. Here first the input image is binarized by adaptive thresholding and then image is enhanced by unwanted-line elimination algorithm (ULEA). Then on applying VEDA vertical edges of the image is detected. Then number of possible candidate license plate region is extracted out of which original LP is detected.

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

2015 Fifth International Conference on Advances in Computing and Communications (ICACC)

自引率

0.00%

发文量