使用SIFT识别泰文字体类型

2012 Ninth International Conference on Computer Graphics, Imaging and Visualization Pub Date : 2012-07-25 DOI:10.1109/CGIV.2012.23

Pitchaya Jamjuntr, N. Dejdumrong

{"title":"使用SIFT识别泰文字体类型","authors":"Pitchaya Jamjuntr, N. Dejdumrong","doi":"10.1109/CGIV.2012.23","DOIUrl":null,"url":null,"abstract":"This paper presents a Thai font type recognition on Thai document by using Scale-invariant feature transform (SIFT). The features are extracted by Scale-invariant feature transform (SIFT) that is widely used in image processing. Sift is an algorithm for detecting local features in order to find similar objects. Our system contains ten fonts and ten text images in each font. We use ten text images each font total one hundred images for our experiment. Our results show accuracy for 97.37% for ten Thai fonts.","PeriodicalId":365897,"journal":{"name":"2012 Ninth International Conference on Computer Graphics, Imaging and Visualization","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Thai Font Type Recognition Using SIFT\",\"authors\":\"Pitchaya Jamjuntr, N. Dejdumrong\",\"doi\":\"10.1109/CGIV.2012.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Thai font type recognition on Thai document by using Scale-invariant feature transform (SIFT). The features are extracted by Scale-invariant feature transform (SIFT) that is widely used in image processing. Sift is an algorithm for detecting local features in order to find similar objects. Our system contains ten fonts and ten text images in each font. We use ten text images each font total one hundred images for our experiment. Our results show accuracy for 97.37% for ten Thai fonts.\",\"PeriodicalId\":365897,\"journal\":{\"name\":\"2012 Ninth International Conference on Computer Graphics, Imaging and Visualization\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth International Conference on Computer Graphics, Imaging and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CGIV.2012.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth International Conference on Computer Graphics, Imaging and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGIV.2012.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文提出了一种基于尺度不变特征变换(SIFT)的泰文字体识别方法。采用尺度不变特征变换(SIFT)提取特征，SIFT是图像处理中常用的一种特征提取方法。Sift是一种检测局部特征以寻找相似对象的算法。我们的系统包含10种字体和每种字体的10个文本图像。我们在实验中使用了10个文本图像，每种字体总共100个图像。结果显示，10种泰语字体的准确率为97.37%。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Thai Font Type Recognition Using SIFT

This paper presents a Thai font type recognition on Thai document by using Scale-invariant feature transform (SIFT). The features are extracted by Scale-invariant feature transform (SIFT) that is widely used in image processing. Sift is an algorithm for detecting local features in order to find similar objects. Our system contains ten fonts and ten text images in each font. We use ten text images each font total one hundred images for our experiment. Our results show accuracy for 97.37% for ten Thai fonts.

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

2012 Ninth International Conference on Computer Graphics, Imaging and Visualization

自引率

0.00%

发文量