手写体识别系统的分割技术

C. Mathew, Ravindra Shinde, C. Y. Patil
{"title":"手写体识别系统的分割技术","authors":"C. Mathew, Ravindra Shinde, C. Y. Patil","doi":"10.1109/ICCPCT.2015.7159397","DOIUrl":null,"url":null,"abstract":"Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing. Image segmentation provides meaningful objects of the image. Identification of a script in handwritten recognition system is really a challenging task in real world. Many researchers are indulged in the recognition of scripts from handwritten documents over four decades. This task becomes more and more challenging when it comes to multi lingual/script country like India. An input Image is preprocessed through various steps and segmented by different available techniques. This identification of script helps in optical Character Recognition systems (OCR).","PeriodicalId":6650,"journal":{"name":"2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Segmentation techniques for handwritten script recognition system\",\"authors\":\"C. Mathew, Ravindra Shinde, C. Y. Patil\",\"doi\":\"10.1109/ICCPCT.2015.7159397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing. Image segmentation provides meaningful objects of the image. Identification of a script in handwritten recognition system is really a challenging task in real world. Many researchers are indulged in the recognition of scripts from handwritten documents over four decades. This task becomes more and more challenging when it comes to multi lingual/script country like India. An input Image is preprocessed through various steps and segmented by different available techniques. This identification of script helps in optical Character Recognition systems (OCR).\",\"PeriodicalId\":6650,\"journal\":{\"name\":\"2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]\",\"volume\":\"1 1\",\"pages\":\"1-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPCT.2015.7159397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPCT.2015.7159397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

不同的脚本用于书写目的。在选择合适的字符识别算法之前,识别/了解这些脚本非常重要。本文主要讨论了用于手写体识别系统的各种分割技术。它是图像处理的一项重要技术。图像分割提供有意义的图像对象。在现实世界中,手写体识别系统中文字的识别是一项具有挑战性的任务。四十多年来,许多研究人员沉迷于从手写文件中识别文字。当涉及到像印度这样的多语言/多文字国家时,这项任务变得越来越具有挑战性。输入图像通过各种步骤进行预处理,并通过不同的可用技术进行分割。这种对文字的识别有助于光学字符识别系统(OCR)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation techniques for handwritten script recognition system
Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing. Image segmentation provides meaningful objects of the image. Identification of a script in handwritten recognition system is really a challenging task in real world. Many researchers are indulged in the recognition of scripts from handwritten documents over four decades. This task becomes more and more challenging when it comes to multi lingual/script country like India. An input Image is preprocessed through various steps and segmented by different available techniques. This identification of script helps in optical Character Recognition systems (OCR).
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
×
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