Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12823)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ICDAR: International Conference on Document Analysis and Recognition
Conference proceedings info: ICDAR 2021.
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Table of contents (48 papers)
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Front Matter
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Text and Symbol Recognition
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Front Matter
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Other Volumes
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Document Analysis and Recognition – ICDAR 2021
About this book
This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.
The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.
Keywords
- artificial intelligence
- character recognition
- computational linguistics
- computer science
- computer systems
- computer vision
- data mining
- databases
- education
- image analysis
- image processing
- image segmentation
- information retrieval
- linguistics
- machine learning
- Natural Language Processing (NLP)
- natural languages
- pattern recognition
- semantics
- text processing
Editors and Affiliations
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Universitat Autònoma de Barcelona, Barcelona, Spain
Josep Lladós
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Lehigh University, Bethlehem, USA
Daniel Lopresti
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Kyushu University, Fukuoka-shi, Japan
Seiichi Uchida
Bibliographic Information
Book Title: Document Analysis and Recognition – ICDAR 2021
Book Subtitle: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III
Editors: Josep Lladós, Daniel Lopresti, Seiichi Uchida
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86334-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86333-3Published: 04 September 2021
eBook ISBN: 978-3-030-86334-0Published: 03 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 756
Number of Illustrations: 44 b/w illustrations, 274 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Information Systems and Communication Service, Natural Language Processing (NLP), Computers and Education, Computer Appl. in Social and Behavioral Sciences
