Meetei Mayek脚本的OCR系统

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI:10.1109/NCVPRIPG.2013.6776228

Subhankar Ghosh, U. Barman, P. Bora, Tourangbam Harishore Singh, B. Chaudhuri

{"title":"Meetei Mayek脚本的OCR系统","authors":"Subhankar Ghosh, U. Barman, P. Bora, Tourangbam Harishore Singh, B. Chaudhuri","doi":"10.1109/NCVPRIPG.2013.6776228","DOIUrl":null,"url":null,"abstract":"This paper presents an implementation of an OCR system for the Meetei Mayek script. The script has been newly reintroduced and there is a growing set of documents currently available in this script. Our system accepts an image of the textual portion of a page and outputs the text in the Unicode format. It incorporates preprocessing, segmentation and classification stages. However, no post-processing is done to the output. The system achieves an accuracy of about 96% on a moderate database.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"An OCR system for the Meetei Mayek script\",\"authors\":\"Subhankar Ghosh, U. Barman, P. Bora, Tourangbam Harishore Singh, B. Chaudhuri\",\"doi\":\"10.1109/NCVPRIPG.2013.6776228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an implementation of an OCR system for the Meetei Mayek script. The script has been newly reintroduced and there is a growing set of documents currently available in this script. Our system accepts an image of the textual portion of a page and outputs the text in the Unicode format. It incorporates preprocessing, segmentation and classification stages. However, no post-processing is done to the output. The system achieves an accuracy of about 96% on a moderate database.\",\"PeriodicalId\":436402,\"journal\":{\"name\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCVPRIPG.2013.6776228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCVPRIPG.2013.6776228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

本文介绍了Meetei Mayek脚本的OCR系统的实现。该脚本最近重新引入，并且该脚本中当前可用的文档越来越多。我们的系统接受页面文本部分的图像，并以Unicode格式输出文本。它包括预处理、分割和分类三个阶段。但是，没有对输出进行后处理。该系统在一个中等规模的数据库上达到了96%左右的准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An OCR system for the Meetei Mayek script

This paper presents an implementation of an OCR system for the Meetei Mayek script. The script has been newly reintroduced and there is a growing set of documents currently available in this script. Our system accepts an image of the textual portion of a page and outputs the text in the Unicode format. It incorporates preprocessing, segmentation and classification stages. However, no post-processing is done to the output. The system achieves an accuracy of about 96% on a moderate database.

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

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

自引率

0.00%

发文量