利用二维傅立叶变换改进基于知识的文本字符识别方法

A. T. Gumahad, N. Bourbakis
{"title":"利用二维傅立叶变换改进基于知识的文本字符识别方法","authors":"A. T. Gumahad, N. Bourbakis","doi":"10.1109/TAI.1992.246411","DOIUrl":null,"url":null,"abstract":"A nonconventional text character extraction technique, called horizontal-vertical projection (HVP), has been used for feature extraction of numerous alphanumeric symbols. In an earlier paper a classification algorithm based on a 1-D Fourier transform (FT) was used with NVP. An alternative 2-D FT feature extraction technique is presented and shown to improve on the 1-D approach.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improving a knowledge based approach for recognition of typed text characters using a 2-D FT\",\"authors\":\"A. T. Gumahad, N. Bourbakis\",\"doi\":\"10.1109/TAI.1992.246411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A nonconventional text character extraction technique, called horizontal-vertical projection (HVP), has been used for feature extraction of numerous alphanumeric symbols. In an earlier paper a classification algorithm based on a 1-D Fourier transform (FT) was used with NVP. An alternative 2-D FT feature extraction technique is presented and shown to improve on the 1-D approach.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

一种称为水平-垂直投影(HVP)的非常规文本字符提取技术已被用于大量字母数字符号的特征提取。在较早的一篇论文中,基于一维傅里叶变换(FT)的分类算法被用于NVP。提出了一种替代的二维FT特征提取技术,并证明了该技术对一维方法的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Improving a knowledge based approach for recognition of typed text characters using a 2-D FT
A nonconventional text character extraction technique, called horizontal-vertical projection (HVP), has been used for feature extraction of numerous alphanumeric symbols. In an earlier paper a classification algorithm based on a 1-D Fourier transform (FT) was used with NVP. An alternative 2-D FT feature extraction technique is presented and shown to improve on the 1-D approach.<>
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
期刊最新文献
Applying a time map manager in a real-time expert system for alarm filtering Fault diagnosis of power distribution lines by using discrimination tree Algorithmic mapping of neural networks with multi-activation product units onto SIMD machines Learning object models in visual semantic networks A neuro-expert system architecture with application to alarm processing in a power system control centre
×
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