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Titlebook: Document Analysis and Recognition – ICDAR 2021 Workshops; Lausanne, Switzerlan Elisa H. Barney Smith,Umapada Pal Conference proceedings 202

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書目名稱Document Analysis and Recognition – ICDAR 2021 Workshops
副標(biāo)題Lausanne, Switzerlan
編輯Elisa H. Barney Smith,Umapada Pal
視頻videohttp://file.papertrans.cn/283/282315/282315.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Document Analysis and Recognition – ICDAR 2021 Workshops; Lausanne, Switzerlan Elisa H. Barney Smith,Umapada Pal Conference proceedings 202
描述This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions?and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: ICDAR 2021 Workshop on Graphics Recognition (GREC); ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021); ICDAR 2021 Workshop on Computational Document Forensics?(IWCDF). The main topics of the contributions are document processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; signature verification and document forensics, and others..“Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; character recognition; computational linguistics; computer systems; computer vi
版次1
doihttps://doi.org/10.1007/978-3-030-86198-8
isbn_softcover978-3-030-86197-1
isbn_ebook978-3-030-86198-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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A Public Ground-Truth Dataset for Handwritten Circuit Diagram Imagesavailable training and evaluation data. This paper presents such an image set along with annotations. The dataset consists of . images of . circuits by . drafters and . annotations. Each of these images depicts an electrical circuit diagram taken by consumer grade cameras under varying lighting cond
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MediTables: A New Dataset and Deep Network for Multi-category Table Localization in Medical Documentfrom various domains exist. However, healthcare and medical documents represent a crucial domain that has not been included so far. To address this gap, we contribute MediTables, a new dataset of 200 diverse medical document images with multi-category table annotations. Meditables contains a wide ra
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Online Analysis of Children Handwritten Words in Dictation Contexty the French government, which aims at designing a virtual notebook in order to foster handwriting learning for primary school pupils. In this work, we consider the task of analysing handwritten words in the context of a dictation exercise. This task is complex due to different factors: the children
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