自然场景图像字符识别的图匹配方法:考虑视觉障碍的自然场景图像字符识别研究

Jieun Kim, H. Yoon
{"title":"自然场景图像字符识别的图匹配方法:考虑视觉障碍的自然场景图像字符识别研究","authors":"Jieun Kim, H. Yoon","doi":"10.1109/INES.2011.5954771","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Graph matching method for character recognition in natural scene images: A study of character recognition in natural scene image considering visual impairments\",\"authors\":\"Jieun Kim, H. Yoon\",\"doi\":\"10.1109/INES.2011.5954771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.\",\"PeriodicalId\":414812,\"journal\":{\"name\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2011.5954771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 15th IEEE International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2011.5954771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

本文提出了一种自然场景图像的特征提取方法。在此基础上,开发了基于自然场景图像特征提取的字符识别系统。一种利用字符结构特征的图匹配方法。它是一种考虑位置关系和结构关系的识别方法。它是一种鲁棒的方法来改变字体或旋转。为了证明这一点,我们测试了训练字体和测试字体是相同情况和不同情况两种情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph matching method for character recognition in natural scene images: A study of character recognition in natural scene image considering visual impairments
In this paper, we proposed feature extraction method in natural scene images. And also, we develop character recognition system using feature extraction method in natural scene images. A graph matching method use structural feature of character. It is recognition method that it considers relation of position and structural relation. It is robust method to change of font or rotation. In order to proof it, we tested two cases that training font and test font are same case or difference case.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信