Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12116)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): DAS: International Workshop on Document Analysis Systems
Conference proceedings info: DAS 2020.
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Table of contents (40 papers)
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Front Matter
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Character and Text Recognition
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Front Matter
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Document Image Processing
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Front Matter
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Segmentation and Layout Analysis
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020.
The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification.
Due to the Corona pandemic the conference was held as a virtual event .
Keywords
- deep learning for document analysis systems
- document analysis systems
- historical document analysis
- document analysis for libraries and archives
- information extraction from document images
- document understanding
- document understanding
- camera-based document analysis
- document analysis for digital humanities
- document retrieval
- layout analysis
- multimedia document analysis
- table and form processing
- document datasets
- pen-based input and its analysis
- performance evaluation
- machine learning
- image processing
- pattern recoginition
- image analysis
Editors and Affiliations
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Huazhong University of Science and Technology, Wuhan, China
Xiang Bai
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Autonomous University of Barcelona, Barcelona, Spain
Dimosthenis Karatzas
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Lehigh University, Bethlehem, USA
Daniel Lopresti
Bibliographic Information
Book Title: Document Analysis Systems
Book Subtitle: 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings
Editors: Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-57058-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-57057-6Published: 09 August 2020
eBook ISBN: 978-3-030-57058-3Published: 14 August 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 588
Number of Illustrations: 161 b/w illustrations, 214 illustrations in colour
Topics: Database Management, Pattern Recognition, Information Storage and Retrieval, Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Applications