Extraction of arbitrary text in natural scene image based on stroke width transform

J. Jameson, S. Abdullah
{"title":"Extraction of arbitrary text in natural scene image based on stroke width transform","authors":"J. Jameson, S. Abdullah","doi":"10.1109/ISDA.2014.7066257","DOIUrl":null,"url":null,"abstract":"Text extraction plays an important role in numerous applications. Research on its method still need to be improved in order to achieve better performance, to increase the reliability of text extraction system and to deal with complex cases of text extraction. The majority of the text extraction methods are focusing on horizontal and near horizontal text lines; however, text in natural scene might be in arbitrary line in real time. Thus, this paper aims to solve the issue of extracting the arbitrary oriented text by suggesting a method for text detection and localization based on the Stroke Width Transform. The proposed method is tested on an arbitrary text dataset and ICDAR dataset. The result of the experiment shows that the proposed method adapts well to the arbitrary text.","PeriodicalId":328479,"journal":{"name":"2014 14th International Conference on Intelligent Systems Design and Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2014.7066257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Text extraction plays an important role in numerous applications. Research on its method still need to be improved in order to achieve better performance, to increase the reliability of text extraction system and to deal with complex cases of text extraction. The majority of the text extraction methods are focusing on horizontal and near horizontal text lines; however, text in natural scene might be in arbitrary line in real time. Thus, this paper aims to solve the issue of extracting the arbitrary oriented text by suggesting a method for text detection and localization based on the Stroke Width Transform. The proposed method is tested on an arbitrary text dataset and ICDAR dataset. The result of the experiment shows that the proposed method adapts well to the arbitrary text.
基于笔画宽度变换的自然场景图像任意文本提取
文本提取在许多应用中起着重要的作用。为了获得更好的性能,提高文本提取系统的可靠性,以及处理复杂的文本提取情况,对其方法的研究还有待改进。大多数文本提取方法都侧重于水平和接近水平的文本行;然而,自然场景中的文本可能是实时的任意行。为此,本文提出了一种基于笔画宽度变换的文本检测与定位方法,以解决任意方向文本的提取问题。在任意文本数据集和ICDAR数据集上对该方法进行了测试。实验结果表明,该方法对任意文本具有较好的适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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