A New Syntactic Approach to Graphic Symbol Recognition

Yu Yajie, Wan Zhang, Wenyin Liu
{"title":"A New Syntactic Approach to Graphic Symbol Recognition","authors":"Yu Yajie, Wan Zhang, Wenyin Liu","doi":"10.1109/ICDAR.2007.26","DOIUrl":null,"url":null,"abstract":"This paper presents a novel syntactic symbol recognition approach to the vector based symbol recognition problem. Different from existing syntactic approaches, which usually describe the geometric relations among primitives, our method formulates a new model to describe the geometric information of a primitive with respect to the whole symbol object based on mathematical analysis. The mathematical model is theoretically rotation and scale invariant and experiments show its accuracy for vector based symbol recognition.","PeriodicalId":279268,"journal":{"name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2007.26","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

This paper presents a novel syntactic symbol recognition approach to the vector based symbol recognition problem. Different from existing syntactic approaches, which usually describe the geometric relations among primitives, our method formulates a new model to describe the geometric information of a primitive with respect to the whole symbol object based on mathematical analysis. The mathematical model is theoretically rotation and scale invariant and experiments show its accuracy for vector based symbol recognition.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
图形符号识别的句法新方法
针对基于向量的符号识别问题,提出了一种新的句法符号识别方法。与现有的描述原语之间几何关系的语法方法不同,本文的方法在数学分析的基础上,建立了一种新的模型来描述原语相对于整个符号对象的几何信息。该数学模型在理论上是旋转和尺度不变的,实验证明了该模型对基于矢量的符号识别的准确性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Language-Based Feature Extraction Using Template-Matching in Farsi/Arabic Handwritten Numeral Recognition A Method of Annotation Extraction from Paper Documents Using Alignment Based on Local Arrangements of Feature Points PRAAD: Preprocessing and Analysis Tool for Arabic Ancient Documents A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition Online Handwritten Japanese Character String Recognition Incorporating Geometric Context
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1