International Journal on Document Analysis and Recognition最新文献

筛选
英文 中文
Background grid extraction from historical hand-drawn cadastral maps 从历史手绘地籍图中提取背景网格
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2023-12-08 DOI: 10.1007/s10032-023-00457-4
Tauseef Iftikhar, Nazar Khan
{"title":"Background grid extraction from historical hand-drawn cadastral maps","authors":"Tauseef Iftikhar, Nazar Khan","doi":"10.1007/s10032-023-00457-4","DOIUrl":"https://doi.org/10.1007/s10032-023-00457-4","url":null,"abstract":"<p>We tackle a novel problem of detecting background grids in hand-drawn cadastral maps. Grid extraction is necessary for accessing and contextualizing the actual map content. The problem is challenging since the background grid is the bottommost map layer that is severely occluded by subsequent map layers. We present a novel automatic method for robust, bottom-up extraction of background grid structures in historical cadastral maps. The proposed algorithm extracts grid structures under significant occlusion, missing information, and noise by iteratively providing an increasingly refined estimate of the grid structure. The key idea is to exploit periodicity of background grid lines to corroborate the existence of each other. We also present an automatic scheme for determining the ‘gridness’ of any detected grid so that the proposed method self-evaluates its result as being good or poor without using ground truth. We present empirical evidence to show that the proposed gridness measure is a good indicator of quality. On a dataset of 268 historical cadastral maps with resolution <span>(1424times 2136)</span> pixels, the proposed method detects grids in 247 images yielding an average root-mean-square error (RMSE) of 5.0 pixels and average intersection over union (IoU) of 0.990. On grids self-evaluated as being good, we report average RMSE of 4.39 pixels and average IoU of 0.991. To compare with the proposed bottom-up approach, we also develop three increasingly sophisticated top-down algorithms based on RANSAC-based model fitting. Experimental results show that our bottom-up algorithm yields better results than the top-down algorithms. We also demonstrate that using detected background grids for stitching different maps is visually better than both manual and SURF-based stitching.</p>","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"21 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138556858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Genre as noise 流派是噪音
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2007-12-01 DOI: 10.2307/j.ctv125jncf.8
StubbeAndrea, RinglstetterChristoph, U. SchulzKlaus
{"title":"Genre as noise","authors":"StubbeAndrea, RinglstetterChristoph, U. SchulzKlaus","doi":"10.2307/j.ctv125jncf.8","DOIUrl":"https://doi.org/10.2307/j.ctv125jncf.8","url":null,"abstract":"Given a specific information need, documents of the wrong genre can be considered as noise. From this perspective, genre classification helps to separate relevant documents from noise. Orthographic...","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"15 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84556320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Text line segmentation of historical documents: a survey 历史文献的文本行分割:综述
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2007-04-04 DOI: 10.5555/1237480.1237483
Likforman-SulemLaurence, ZahourAbderrazak, TaconetBruno
{"title":"Text line segmentation of historical documents: a survey","authors":"Likforman-SulemLaurence, ZahourAbderrazak, TaconetBruno","doi":"10.5555/1237480.1237483","DOIUrl":"https://doi.org/10.5555/1237480.1237483","url":null,"abstract":"There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pages remains, in mo...","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"43 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2007-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85190118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Text line segmentation of historical documents 历史文献的文本行分割
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2007-04-01 DOI: 10.5555/2722890.2723025
Likforman-SulemLaurence, ZahourAbderrazak, TaconetBruno
{"title":"Text line segmentation of historical documents","authors":"Likforman-SulemLaurence, ZahourAbderrazak, TaconetBruno","doi":"10.5555/2722890.2723025","DOIUrl":"https://doi.org/10.5555/2722890.2723025","url":null,"abstract":"There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pages remains, in mo...","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"77 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85564508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
The recognition of handwritten numeral strings using a two-stage HMM-based method 使用基于hmm的两阶段方法识别手写数字字符串
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0085-5
A. Britto, R. Sabourin, Flávio Bortolozzi
{"title":"The recognition of handwritten numeral strings using a two-stage HMM-based method","authors":"A. Britto, R. Sabourin, Flávio Bortolozzi","doi":"10.1007/s10032-002-0085-5","DOIUrl":"https://doi.org/10.1007/s10032-002-0085-5","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"7 1","pages":"102-117"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89695619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 50
Adaptive image-smoothing using a coplanar matrix and its application to document image binarization 共面矩阵自适应图像平滑及其在文档图像二值化中的应用
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0098-0
Lixin Fan, Liying Fan, C. Tan
{"title":"Adaptive image-smoothing using a coplanar matrix and its application to document image binarization","authors":"Lixin Fan, Liying Fan, C. Tan","doi":"10.1007/s10032-002-0098-0","DOIUrl":"https://doi.org/10.1007/s10032-002-0098-0","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"262 1","pages":"88-101"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82471177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Special issue – selected papers from the ICDAR'01 conference 特刊- ICDAR'01会议论文选集
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0093-5
A. Spitz, K. Tombre
{"title":"Special issue – selected papers from the ICDAR'01 conference","authors":"A. Spitz, K. Tombre","doi":"10.1007/s10032-002-0093-5","DOIUrl":"https://doi.org/10.1007/s10032-002-0093-5","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"25 1","pages":"87"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82836000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Creating word-level language models for large-vocabulary handwriting recognition 为大词汇量的手写识别创建单词级语言模型
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0087-3
J. Pitrelli, Amit Roy
{"title":"Creating word-level language models for large-vocabulary handwriting recognition","authors":"J. Pitrelli, Amit Roy","doi":"10.1007/s10032-002-0087-3","DOIUrl":"https://doi.org/10.1007/s10032-002-0087-3","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"130 1","pages":"126-137"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89467363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Extraction of special effects caption text events from digital video 从数字视频中提取特效字幕文本事件
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0091-7
David J. Crandall, Sameer Kiran Antani, R. Kasturi
{"title":"Extraction of special effects caption text events from digital video","authors":"David J. Crandall, Sameer Kiran Antani, R. Kasturi","doi":"10.1007/s10032-002-0091-7","DOIUrl":"https://doi.org/10.1007/s10032-002-0091-7","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"1 1","pages":"138-157"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77103825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 94
Online image classification using IHDR 基于IHDR的在线图像分类
IF 2.3 4区 计算机科学
International Journal on Document Analysis and Recognition Pub Date : 2003-04-01 DOI: 10.1007/s10032-002-0086-4
J. Weng, Wey-Shiuan Hwang
{"title":"Online image classification using IHDR","authors":"J. Weng, Wey-Shiuan Hwang","doi":"10.1007/s10032-002-0086-4","DOIUrl":"https://doi.org/10.1007/s10032-002-0086-4","url":null,"abstract":"","PeriodicalId":50277,"journal":{"name":"International Journal on Document Analysis and Recognition","volume":"32 1","pages":"118-125"},"PeriodicalIF":2.3,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83487370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
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×
相关产品
×
本文献相关产品
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