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

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German Lute Tablature Recognition 德国鲁特琴谱识别
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.52
C. Dalitz, Christine Pranzas
{"title":"German Lute Tablature Recognition","authors":"C. Dalitz, Christine Pranzas","doi":"10.1109/ICDAR.2009.52","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.52","url":null,"abstract":"This paper describes a document recognition system for 16th century German staffless lute tablature notation. We present methods for page layout analysis, symbol recognition and symbol layout analysis and report error rates for these methods on a variety of historic prints. Page layout analysis is based on horizontal separator lines, which may interfere with other symbols. The proposed algorithm for their detection and removal is also applicable to other single staff line detection problems (like percussion notation), for which common staff line removal algorithms fail.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"42 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":"134351314","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: 7
Learning Bayesian Networks by Evolution for Classifier Combination 基于进化学习贝叶斯网络的分类器组合
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.177
C. Stefano, F. Fontanella, A. S. D. Freca, A. Marcelli
{"title":"Learning Bayesian Networks by Evolution for Classifier Combination","authors":"C. Stefano, F. Fontanella, A. S. D. Freca, A. Marcelli","doi":"10.1109/ICDAR.2009.177","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.177","url":null,"abstract":"Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduction of the overall performance, since the responses provided by some of the experts may generate consensus on a wrong decision even if other experts provided the correct one. To reduce these undesired effects, in a previous study, we proposed a combining method based on the use of a Bayesian Network. In this paper, we present an improvement of that method which allows to solve some of the drawbacks exhibited by standard learning algorithms for Bayesian Networks. The proposed method is based on an Evolutionary Algorithm which uses a specifically devised data structure to encode direct acyclic graphs. This data structure allows to effectively implement crossover and mutation operators. The experimental results, obtained by using three standard databases, confirmed the effectiveness of the method.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"56 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":"133821486","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: 3
A Methodology for Document Image Dewarping Techniques Performance Evaluation 一种文档图像去噪技术性能评价方法
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.160
N. Stamatopoulos, B. Gatos, I. Pratikakis
{"title":"A Methodology for Document Image Dewarping Techniques Performance Evaluation","authors":"N. Stamatopoulos, B. Gatos, I. Pratikakis","doi":"10.1109/ICDAR.2009.160","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.160","url":null,"abstract":"One of the major challenges in camera document analysis is to deal with the page curl and perspective distortions. In spite of the prevalence of dewarping techniques, no standard for their performance evaluation method exists with most of the evaluation done to concentrate in visual pleasing impressions. This paper presents an objective evaluation methodology for document image dewarping techniques. First, manually selected sets of points of the initial warped image are matched with the corresponding points of the dewarping result using the Scale Invariant Feature Transform (SIFT). Each set corresponds to a representative text line of the image. Then, based on cubic polynomial curves that fit to the selected text lines, a comprehensive measure which reflects the entire performance of a dewarping technique in a concise quantitative manner is calculated. Experiments applying the proposed performance evaluation methodology on two state of the art dewarping techniques as well as a commercial package are presented.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"1 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":"115497726","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: 18
Manuscript Bleed-through Removal via Hysteresis Thresholding 通过迟滞阈值去除手稿渗血
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.88
Rolando Estrada, Carlo Tomasi
{"title":"Manuscript Bleed-through Removal via Hysteresis Thresholding","authors":"Rolando Estrada, Carlo Tomasi","doi":"10.1109/ICDAR.2009.88","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.88","url":null,"abstract":"Many types of degradation can render ancient manuscripts very hard to read. In bleed-through, the text from the reverse, or verso, side of a page seeps through into the front, or recto. In this paper, we propose hysteresis thresholding to greatly reduce bleed-through. Thresholding alone cannot properly separate ink and bleed-through because the ranges of intensities for the two classes overlap. Hysteresis thresholding overcomes this limitation via the two steps of thresholding and ink regrowth. In order to provide quantitative measures of the effectiveness of this approach, we constructed a novel dataset which features bleed-through and has available ground truth. We evaluated our method and a number of previously proposed approaches on ink pixel precision and recall. Hysteresis thresholding significantly improves over existing methods.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"57 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":"114432828","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: 28
Document Analysis Support for the Manual Auditing of Elections 手工审计选举的文件分析支持
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.279
D. Lopresti, Xiaoping Zhou, Xiaolei Huang, Gang Tan
{"title":"Document Analysis Support for the Manual Auditing of Elections","authors":"D. Lopresti, Xiaoping Zhou, Xiaolei Huang, Gang Tan","doi":"10.1109/ICDAR.2009.279","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.279","url":null,"abstract":"Recent developments have resulted in dramatic changes in the way elections are conducted, both in the United States and around the world. Well-publicized flaws in the security of electronic voting systems have led to a push for the use of verifiable paper records in the election process. In this paper, we describe the application of document analysis techniques to facilitate the manual auditing of elections,both to assure the reliability of the final outcome as well as to help reconcile the differences that may arise between repeated scans of the same ballot. We show how techniques developed for document duplicate detection can be applied to this problem, and present experimental results that demonstrate the efficacy of our approach. Related issues concerning machine support for the auditing of elections are also discussed.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"1 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":"115406539","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: 0
Google Newspaper Search – Image Processing and Analysis Pipeline 谷歌报纸搜索-图像处理和分析管道
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.272
K. Chaudhury, Ankur Jain, S. Thirthala, Vivek Sahasranaman, Shobhit Saxena, Selvam Mahalingam
{"title":"Google Newspaper Search – Image Processing and Analysis Pipeline","authors":"K. Chaudhury, Ankur Jain, S. Thirthala, Vivek Sahasranaman, Shobhit Saxena, Selvam Mahalingam","doi":"10.1109/ICDAR.2009.272","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.272","url":null,"abstract":"The Google Newspaper Search program was launched on September 8, 2008. In this paper, we outline the technology pieces underlying this large and complex project. We have created a production pipeline which takes newspaper microfilms as input and emits individual news articles as output. These articles are then indexed and added to the content base, so that they turn up in response to Google searches. Thus, in response to a Google query “Hitler death”, we are able to show newspaper articles from the very day it was reported, authentic and unbiased by passage of time. Non-uniform illumination, presence of significant noise, tears and scratches in the microfilm image, all pose special challenges for this project. The significant variation of layouts across newspapers and time eras, the variations in font sizes occurring in a single page (which confuses the OCR engine) compound the difficulties. The project is still going on after the initial launch was made (with about 15 million news articles).","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"49 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":"124749996","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: 15
HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation 基于hmm的特征拼接的手写阿姆哈拉语单词识别
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.50
Yaregal Assabie, J. Bigün
{"title":"HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation","authors":"Yaregal Assabie, J. Bigün","doi":"10.1109/ICDAR.2009.50","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.50","url":null,"abstract":"Amharic is the official language of Ethiopia and uses Ethiopic script for writing. In this paper, we present writer-independent HMM-based Amharic word recognition for offline handwritten text. The underlying units of the recognition system are a set of primitive strokes whose combinations form handwritten Ethiopic characters. For each character, possibly occurring sequences of primitive strokes and their spatial relationships, collectively termed as primitive structural features, are stored as feature list. Hidden Markov models for Amharic words are trained with such sequences of structural features of characters constituting words. The recognition phase does not require segmentation of characters but only requires text line detection and extraction of structural features in each text line. Text lines and primitive structural features are extracted by making use of direction field tensor. The performance of the recognition system is tested by a database of unconstrained handwritten documents collected from various sources.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"302 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":"123936912","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: 14
Document Image Binarisation Using Markov Field Model 基于马尔可夫场模型的文档图像二值化
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.117
T. Lelore, F. Bouchara
{"title":"Document Image Binarisation Using Markov Field Model","authors":"T. Lelore, F. Bouchara","doi":"10.1109/ICDAR.2009.117","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.117","url":null,"abstract":"This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. Depending on the available information, the model parameters (clique potentials) are learned from training data or computed using heuristics. The observation model is estimated thanks to an expectation maximization (EM) algorithm which extracts text and paper’s features. The performance of the proposition is evaluated on several types of degraded document images where considerable background noise or variation in contrast and illumination exist.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"19 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":"126500325","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: 53
Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System 基于hmm的字符识别系统优化策略的评价
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.230
Murilo Santos, Albert Hung-Ren Ko, L. S. Oliveira, R. Sabourin, Alessandro Lameiras Koerich, A. Britto
{"title":"Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System","authors":"Murilo Santos, Albert Hung-Ren Ko, L. S. Oliveira, R. Sabourin, Alessandro Lameiras Koerich, A. Britto","doi":"10.1109/ICDAR.2009.230","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.230","url":null,"abstract":"Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is proposed to deal with the negative impact of low probability symbols in the training database. New sequences of observations are generated based on the original ones, but considering a noise reduction process. The experimental results based on 52 classes of alphabetic characters and more than 23,000 samples have shown that the strategies proposed to optimize the HMM-based recognition method are very promising.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"1 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":"129510759","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: 1
Analysis of Book Documents' Table of Content Based on Clustering 基于聚类的图书文献目录分析
2009 10th International Conference on Document Analysis and Recognition Pub Date : 2009-07-26 DOI: 10.1109/ICDAR.2009.143
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimin Chu
{"title":"Analysis of Book Documents' Table of Content Based on Clustering","authors":"Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimin Chu","doi":"10.1109/ICDAR.2009.143","DOIUrl":"https://doi.org/10.1109/ICDAR.2009.143","url":null,"abstract":"Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we have observed that book documents are multi-page documents with intrinsic local format consistency. Based on this finding we introduce an automatic TOC analysis method through clustering. This method first detects the decorative elements in TOC pages. Then it learns a layout model used in the TOC pages through clustering. Finally, it generates TOC entries and extracts their hierarchical structure under the guidance of the model. More specifically, broken lines are taken into account in the method. Experimental results show that this method achieves high accuracy and efficiency. In addition, this method has been successfully applied in a commercial E-book production software package.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"2676 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":"126693866","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: 3
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