一种针对触摸字符问题的日文打印文档字符分割方法

Q4 Computer Science
S. Ariyoshi
{"title":"一种针对触摸字符问题的日文打印文档字符分割方法","authors":"S. Ariyoshi","doi":"10.1109/ICPR.1992.201780","DOIUrl":null,"url":null,"abstract":"Proposes a character segmentation method for Japanese printed documents. Since character segmentation is a kind of a search problem, avoiding 'combinatorial explosion' is essential in realizing practical systems. Segmentation is very complicated especially when characters touch each other. The method described gives a multi-stage algorithm, where the earlier stages treat more reliable segmentation than the later stages which utilize information obtained from the results of earlier stages. Segmentation hypotheses are generated in each stage on the basis of the results of earlier stages, and they are verified by the character recognition results. Experiments on more than one hundred documents have proven that this method is efficient and accurate for practical applications.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":"80 1","pages":"313-316"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"A character segmentation method for Japanese printed documents coping with touching character problems\",\"authors\":\"S. Ariyoshi\",\"doi\":\"10.1109/ICPR.1992.201780\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposes a character segmentation method for Japanese printed documents. Since character segmentation is a kind of a search problem, avoiding 'combinatorial explosion' is essential in realizing practical systems. Segmentation is very complicated especially when characters touch each other. The method described gives a multi-stage algorithm, where the earlier stages treat more reliable segmentation than the later stages which utilize information obtained from the results of earlier stages. Segmentation hypotheses are generated in each stage on the basis of the results of earlier stages, and they are verified by the character recognition results. Experiments on more than one hundred documents have proven that this method is efficient and accurate for practical applications.<<ETX>>\",\"PeriodicalId\":34917,\"journal\":{\"name\":\"模式识别与人工智能\",\"volume\":\"80 1\",\"pages\":\"313-316\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"模式识别与人工智能\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201780\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 16

摘要

提出了一种针对日文打印文档的字符分割方法。由于字符分割是一种搜索问题,避免“组合爆炸”是实现实际系统的关键。分割非常复杂,尤其是当字符相互接触时。所描述的方法给出了一个多阶段算法,其中前阶段比后阶段处理更可靠的分割,后者利用从前阶段的结果中获得的信息。每一阶段的分割假设都是基于前一阶段的结果产生的,并通过字符识别结果进行验证。在一百多份文件上的实验证明,该方法在实际应用中是有效和准确的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A character segmentation method for Japanese printed documents coping with touching character problems
Proposes a character segmentation method for Japanese printed documents. Since character segmentation is a kind of a search problem, avoiding 'combinatorial explosion' is essential in realizing practical systems. Segmentation is very complicated especially when characters touch each other. The method described gives a multi-stage algorithm, where the earlier stages treat more reliable segmentation than the later stages which utilize information obtained from the results of earlier stages. Segmentation hypotheses are generated in each stage on the basis of the results of earlier stages, and they are verified by the character recognition results. Experiments on more than one hundred documents have proven that this method is efficient and accurate for practical applications.<>
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
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
期刊介绍:
×
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