A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition

W. Zhang, W. Liu
{"title":"A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition","authors":"W. Zhang, W. Liu","doi":"10.1109/ICDAR.2007.27","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel descriptor based on symbol signatures for symbol filtering and recognition. First of all, all symbols are assumed in vectorial forms. All the primitive-pair relationships in a symbol are recorded and employed to create the signature representing the symbol. Although the approach aims at discriminating the symbol rapidly, it still preserves high recognition accuracy. Experiments on the data sets in GREC2003 [6] show its invariance on rotation, scaling, and other affine transformations.","PeriodicalId":279268,"journal":{"name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","volume":"102 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","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.2007.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

In this paper, we propose a novel descriptor based on symbol signatures for symbol filtering and recognition. First of all, all symbols are assumed in vectorial forms. All the primitive-pair relationships in a symbol are recorded and employed to create the signature representing the symbol. Although the approach aims at discriminating the symbol rapidly, it still preserves high recognition accuracy. Experiments on the data sets in GREC2003 [6] show its invariance on rotation, scaling, and other affine transformations.
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
一种新的用于符号快速索引、过滤和识别的矢量签名
本文提出了一种基于符号签名的描述符,用于符号过滤和识别。首先,所有的符号都假定为向量形式。符号中的所有原语对关系都被记录下来,并用于创建表示该符号的签名。虽然该方法旨在快速识别符号,但仍保持了较高的识别精度。在gre2003[6]的数据集上的实验证明了它在旋转、缩放和其他仿射变换上的不变性。
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