发布求助
文献互助 智能选刊 最新文献

2009 10th International Conference on Document Analysis and Recognition最新文献

筛选
英文 中文
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques 一种新的分词两阶段评价方法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.219
G. Louloudis, N. Stamatopoulos, B. Gatos
{"title":"A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques","authors":"G. Louloudis, N. Stamatopoulos, B. Gatos","doi":"10.1109/ICDAR.2009.219","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.219","url":null,"abstract":"Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classification. In this paper, we propose a robust evaluation methodology that treats the distance computation and the gap classification stages independently. The detection rate calculated for every distance metric corresponds to the maximum detection rate that we could have achieved if we had a perfect classifier for the gap classification stage. The proposed evaluation framework has been applied to several state-of-the-art techniques using a handwritten as well as a historical typewritten document set. The best combination of distance metric computation and gap classification state-of-the-art techniques is proposed.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A Gradient Difference Based Technique for Video Text Detection 基于梯度差分的视频文本检测技术
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.85
P. Shivakumara, T. Phan, C. Tan
{"title":"A Gradient Difference Based Technique for Video Text Detection","authors":"P. Shivakumara, T. Phan, C. Tan","doi":"10.1109/ICDAR.2009.85","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.85","url":null,"abstract":"Text detection in video images has received increasing attention, particularly in scene text detection in video images, as it plays a vital role in video indexing and information retrieval. This paper proposes a new and robust gradient difference technique for detecting both graphics and scene text in video images. The technique introduces the concept of zero crossing to determine the bounding boxes for the detected text lines in video images, rather than using the conventional projection profiles based method which fails to fix bounding boxes when there is no proper spacing between the detected text lines. We demonstrate the capability of the proposed technique by conducting experiments on video images containing both graphics text and scene text with different font shapes and sizes, languages, text directions, background and contrasts. Our experimental results show that the proposed technique outperforms existing methods in terms of detection rate for large video image database.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 62
From Isolated Handwritten Characters to Fields Recognition: There's Many a Slip Twixt Cup and Lip 从孤立的手写字符到字段识别:在杯和唇之间有许多失误
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.91
Christopher Kermorvant, Anne-Laure Bianne-Bernard, Patrick Marty, F. Menasri
{"title":"From Isolated Handwritten Characters to Fields Recognition: There's Many a Slip Twixt Cup and Lip","authors":"Christopher Kermorvant, Anne-Laure Bianne-Bernard, Patrick Marty, F. Menasri","doi":"10.1109/ICDAR.2009.91","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.91","url":null,"abstract":"Recognition of handwritten characters has been a popular task for the evaluation of classification algorithms for many years. Looking at the latest results on databases such as USPS or MNIST, one could think that character recognition is a solved problem. In this paper, we claim that this is not the case for two reasons : first because the classical databases for digit recognition are realistic but too simple and second because digit recognition is not a real-world task but only a part of it. In this paper, we contribute to a better understanding of these two aspects with new results. In a first part, we compare three state-of-the-art recognizers on a digit recognition task extracted from a real world application and show that the error rates on this database can not be extrapolated from MNIST. Then, in a second part, we present and evaluate a system designed for an industrial application based on character recognition : document identification with floating field recognition.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127384856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition 基于F-ratio的相似形状字符加权特征提取
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.197
T. Wakabayashi, U. Pal, F. Kimura, Y. Miyake
{"title":"F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition","authors":"T. Wakabayashi, U. Pal, F. Kimura, Y. Miyake","doi":"10.1109/ICDAR.2009.197","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.197","url":null,"abstract":"Recognition of handwritten similar shaped character is a difficult problem and in character recognition system most of the errors occur from similar shaped characters. In this paper we proposed a novel feature extraction technique to improve the recognition results of two similar shaped characters. The technique is based on F-ratio (Fisher Ratio), a statistical measure defined by the ratio to the between-class variance and within-class variance. F-ratio modifies the feature vector of two similar shape characters by weighting the feature elements. This weighting scheme enhances the feature elements that belongs to the distinguishable portions of the similar shaped characters and reduces the feature elements of the common portion of the characters, so that similar shaped characters can be identified easily. We considered pair of handwritten similar shape characters of different scripts like Arabic/Persian, Devnagari English, Bangla, Oriya, Tamil, Kannada, Telugu etc. and we noted that f-ratio based feature weighting shows better recognition results.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 43
A Kai Style Calligraphic Beautification Method for Handwriting Chinese Character 手写汉字的楷式书法美化方法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.59
Weiping Xia, Lianwen Jin
{"title":"A Kai Style Calligraphic Beautification Method for Handwriting Chinese Character","authors":"Weiping Xia, Lianwen Jin","doi":"10.1109/ICDAR.2009.59","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.59","url":null,"abstract":"In this paper, we propose a method that can beautify user’s handwriting to the character of Kai style calligraphy. Structural and style features of Chinese character are summarized, and a model for representing character is proposed. Bezier curve with varying width is used for approximating user-input stroke segment. Corner shapes are modeled and utilized to beautify the corner points in the stroke. Rendering rules are designed based on the character features. Also, antialiasing technology is adopted to make the edge of the contour fine and smooth. Experimental results show the effectiveness of our system on beautifying the handwriting to Kai style calligraphy.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
A Set of Chain Code Based Features for Writer Recognition 一套基于链码特征的写作者识别方法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.136
I. Siddiqi, N. Vincent
{"title":"A Set of Chain Code Based Features for Writer Recognition","authors":"I. Siddiqi, N. Vincent","doi":"10.1109/ICDAR.2009.136","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.136","url":null,"abstract":"This communication presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from the contours of handwritten images at different observation levels. At the global level, we extract the histograms of the chain code, the first and second order differential chain codes and, the histogram of the curvature indices at each point of the contour of handwriting. At the local level, the handwritten text is divided into a large number of small adaptive windows and within each window the contribution of each of the eight directions (and their differentials) is counted in the corresponding histograms. Two writings are then compared by computing the distances between their respective histograms. The system trained and tested on two different data sets of 650 and 225 writers respectively, exhibited promising results on writer identification and verification.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 82
Language Model Integration for the Recognition of Handwritten Medieval Documents 中世纪手写体文献识别的语言模型集成
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.17
Markus Wüthrich, M. Liwicki, Andreas Fischer, Emanuel Indermühle, H. Bunke, Gabriel Viehhauser, Michael Stolz
{"title":"Language Model Integration for the Recognition of Handwritten Medieval Documents","authors":"Markus Wüthrich, M. Liwicki, Andreas Fischer, Emanuel Indermühle, H. Bunke, Gabriel Viehhauser, Michael Stolz","doi":"10.1109/ICDAR.2009.17","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.17","url":null,"abstract":"Building recognition systems for historical documents is a difficult task. Especially, when it comes to medieval scripts. The complexity is mainly affected by the poor quality and the small quantity of the data available. In this paper we apply an HMM based recognition system to medieval manuscripts from the 13th century written in Middle High German. The recognition system, which was originally developed for modern scripts, has been adapted to medieval scripts. Beside the data processing, one of the major challenges is to create a suitable language model. Because of the lack of appropriate independent text corpora for medieval languages, the language model has to be created on the base of a rather small number of manuscripts only. Due to the small size of the corpus, optimizing the language model parameters can quickly lead to the problem of overfitting. In this paper we describe a strategy to integrate all available information into the language model and to optimize the language model parameters without suffering from this problem.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132476538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 36
A New Framework for Recognition of Heavily Degraded Characters in Historical Typewritten Documents Based on Semi-Supervised Clustering 基于半监督聚类的历史打字文档严重退化字符识别新框架
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.267
S. Pletschacher, Jianying Hu, A. Antonacopoulos
{"title":"A New Framework for Recognition of Heavily Degraded Characters in Historical Typewritten Documents Based on Semi-Supervised Clustering","authors":"S. Pletschacher, Jianying Hu, A. Antonacopoulos","doi":"10.1109/ICDAR.2009.267","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.267","url":null,"abstract":"This paper presents a new semi-supervised clustering framework to the recognition of heavily degraded characters in historical typewritten documents, where off-the-shelf OCR typically fails. The constraints are generated using typographical (collection-independent) domain knowledge and are used to guide both sample (glyph set) partitioning and metric learning. Experimental results using simple features provide encouraging evidence that this approach can lead to significantly improved clustering results compared to simple K-Means clustering, as well as to clustering using a state-of-the art OCR engine.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"4 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131688540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Compression and String Matching Method for Printed Document Images 打印文档图像的压缩和字符串匹配方法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.182
Hajime Imura, Yuzuru Tanaka
{"title":"Compression and String Matching Method for Printed Document Images","authors":"Hajime Imura, Yuzuru Tanaka","doi":"10.1109/ICDAR.2009.182","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.182","url":null,"abstract":"This paper describes a compression technique for printed document images and string matching method on the compressed images.To send digitized document images over the Web, compression of the document images is required. Moreover, in order to deal with historical letterpress printing collections, it is important to provide a full-text search method for them.The proposed compression scheme is based on character Pattern Matching & Substitution approach using a string matching technique of document images.The proposed string matching method is independent from the difference of languages and fonts because it uses the pseudo-coding that is based on statistical character shape features.We also use the pseudo-codes in a string matching of compressed documents.The system is as fast as the full-text search of machine-readable texts.Our method was evaluated in the compressed size, calculating recall-precision curves for n-gram-based query strings.The experiments have shown that about 100 pages of document in gray-scale at 300 dpi can be compressed down to around one megabyte.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133194311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis 19世纪手写文件布局分析的文本行和片段提取
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.199
Vincent Malleron, V. Eglin, H. Emptoz, Stéphanie Dord-Crouslé, Philippe Régnier
{"title":"Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis","authors":"Vincent Malleron, V. Eglin, H. Emptoz, Stéphanie Dord-Crouslé, Philippe Régnier","doi":"10.1109/ICDAR.2009.199","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.199","url":null,"abstract":"In this paper we propose a new approach to improve electronic editions of human science corpus, providing an efficient estimation of manuscripts pages structure. In any handwriting documents analysis process, the text line segmentation is an important stage. The presence of variable inter-line spaces, of inconstant base-line skews, overlapping and occlusions in unconstrained ancient 19th handwritten documents complexifies the text lines segmentation task. In this paper, we only use as prior knowledge of script the fact that text lines skews can be random and irregular.In that context, we model text line detection as an image segmentation problem by enhancing text line structure using Hough transform and a clustering of connected components so as to make text line boundaries appear. The proposed approach of snippets decomposition for page layout analysislies on a first step of content pages classification in five visual and genetic taxonomies, and a second step of text line extraction and snippets decomposition. Experiments show that the proposed method achieves high accuracy for detecting text lines in regular and semi-regular handwritten pages in the corpus of digitized Flaubert manuscripts (”Dossiers documentaires de Bouvard et Pécuchet”, 1872-1880).","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
首页 上一页 下一页 尾页
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
现在去查看 取消
×
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