Document Analysis and Recognition - ICDAR 2021 : 16th International Conference, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part II /

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 sele...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Lladós, Josep (Editor), Lopresti, Daniel (Editor), Uchida, Seiichi (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12822
Subjects:	Optical data processing. Computers. Machine learning. Natural language processing (Computer science). Education-Data processing. Application software. Computer Imaging, Vision, Pattern Recognition and Graphics. Information Systems and Communication Service. Machine Learning. Natural Language Processing (NLP). Computers and Education. Computer Appl. in Social and Behavioral Sciences. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.
Physical Description:	1 online resource (XX, 873 pages 329 illustrations, 277 illustrations in color.)
ISBN:	9783030863319
DOI:	10.1007/978-3-030-86331-9