Thibault Douzon, S. Duffner, Christophe Garcia, Jérémy Espinas
{"title":"Improving Information Extraction on Business Documents with Specific Pre-training Tasks","authors":"Thibault Douzon, S. Duffner, Christophe Garcia, Jérémy Espinas","doi":"10.1007/978-3-031-06555-2_8","DOIUrl":"https://doi.org/10.1007/978-3-031-06555-2_8","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129407966","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}
Adrià Molina, Lluís Gómez, O. R. Terrades, Josep Llad'os
{"title":"A Generic Image Retrieval Method for Date Estimation of Historical Document Collections","authors":"Adrià Molina, Lluís Gómez, O. R. Terrades, Josep Llad'os","doi":"10.48550/arXiv.2204.04028","DOIUrl":"https://doi.org/10.48550/arXiv.2204.04028","url":null,"abstract":". Date estimation of historical document images is a challeng-ing problem, with several contributions in the literature that lack of the ability to generalize from one dataset to others. This paper presents a robust date estimation system based in a retrieval approach that gen-eralizes well in front of heterogeneous collections. we use a ranking loss function named smooth-nDCG to train a Convolutional Neural Network that learns an ordination of documents for each problem. One of the main usages of the presented approach is as a tool for historical contextual retrieval. It means that scholars could perform comparative analysis of historical images from big datasets in terms of the period where they were produced. We provide experimental evaluation on different types of documents from real datasets of manuscript and newspaper images.","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"13 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132419757","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}
Xiaotong Ji, Yan Zheng, D. Suehiro, Seiichi Uchida
{"title":"Revealing Reliable Signatures by Learning Top-Rank Pairs","authors":"Xiaotong Ji, Yan Zheng, D. Suehiro, Seiichi Uchida","doi":"10.48550/arXiv.2203.09927","DOIUrl":"https://doi.org/10.48550/arXiv.2203.09927","url":null,"abstract":"Signature verification, as a crucial practical documentation analysis task, has been continuously studied by researchers in machine learning and pattern recognition fields. In specific scenarios like confirming financial documents and legal instruments, ensuring the absolute reliability of signatures is of top priority. In this work, we proposed a new method to learn\"top-rank pairs\"for writer-independent offline signature verification tasks. By this scheme, it is possible to maximize the number of absolutely reliable signatures. More precisely, our method to learn top-rank pairs aims at pushing positive samples beyond negative samples, after pairing each of them with a genuine reference signature. In the experiment, BHSig-B and BHSig-H datasets are used for evaluation, on which the proposed model achieves overwhelming better pos@top (the ratio of absolute top positive samples to all of the positive samples) while showing encouraging performance on both Area Under the Curve (AUC) and accuracy.","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115234506","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}
{"title":"Unified Line and Paragraph Detection by Graph Convolutional Networks","authors":"Shuang Liu, Renshen Wang, Michalis Raptis, Yasuhisa Fujii","doi":"10.48550/arXiv.2203.09638","DOIUrl":"https://doi.org/10.48550/arXiv.2203.09638","url":null,"abstract":"We formulate the task of detecting lines and paragraphs in a document into a unified two-level clustering problem. Given a set of text detection boxes that roughly correspond to words, a text line is a cluster of boxes and a paragraph is a cluster of lines. These clusters form a two-level tree that represents a major part of the layout of a document. We use a graph convolutional network to predict the relations between text detection boxes and then build both levels of clusters from these predictions. Experimentally, we demonstrate that the unified approach can be highly efficient while still achieving state-of-the-art quality for detecting paragraphs in public benchmarks and real-world images.","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124103390","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}
{"title":"Font Shape-to-Impression Translation","authors":"Masaya Ueda, Akisato Kimura, S. Uchida","doi":"10.48550/arXiv.2203.05808","DOIUrl":"https://doi.org/10.48550/arXiv.2203.05808","url":null,"abstract":"Different fonts have different impressions, such as elegant, scary, and cool. This paper tackles part-based shape-impression analysis based on the Transformer architecture, which is able to handle the correlation among local parts by its self-attention mechanism. This ability will reveal how combinations of local parts realize a specific impression of a font. The versatility of Transformer allows us to realize two very different approaches for the analysis, i.e., multi-label classification and translation. A quantitative evaluation shows that our Transformer-based approaches estimate the font impressions from a set of local parts more accurately than other approaches. A qualitative evaluation then indicates the important local parts for a specific impression.","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729551","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}
{"title":"Paired Image to Image Translation for Strikethrough Removal From Handwritten Words","authors":"R. Heil, Ekta Vats, A. Hast","doi":"10.1007/978-3-031-06555-2_21","DOIUrl":"https://doi.org/10.1007/978-3-031-06555-2_21","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"742 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123866415","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}
{"title":"Importance of Textlines in Historical Document Classification","authors":"M. Kišš, Janina Kohut, Karel Beneš, Michal Hradiš","doi":"10.1007/978-3-031-06555-2_11","DOIUrl":"https://doi.org/10.1007/978-3-031-06555-2_11","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124786628","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}
Christian Reul, Stefan Tomasek, Florian Langhanki, U. Springmann
{"title":"Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning","authors":"Christian Reul, Stefan Tomasek, Florian Langhanki, U. Springmann","doi":"10.1007/978-3-031-06555-2_28","DOIUrl":"https://doi.org/10.1007/978-3-031-06555-2_28","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130717894","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}
Ramon Pires, Fábio Souza, G. Rosa, R. Lotufo, Rodrigo Nogueira
{"title":"Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents","authors":"Ramon Pires, Fábio Souza, G. Rosa, R. Lotufo, Rodrigo Nogueira","doi":"10.1007/978-3-031-06555-2_6","DOIUrl":"https://doi.org/10.1007/978-3-031-06555-2_6","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129063599","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}
Valentin Owczarek, Jordan Drapeau, J. Burie, P. Franco, Mickaël Coustaty, R. Mullot, V. Eglin
{"title":"Classification of Phonetic Characters by Space-Filling Curves","authors":"Valentin Owczarek, Jordan Drapeau, J. Burie, P. Franco, Mickaël Coustaty, R. Mullot, V. Eglin","doi":"10.1007/978-3-030-57058-3_7","DOIUrl":"https://doi.org/10.1007/978-3-030-57058-3_7","url":null,"abstract":"","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123016323","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}