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Document analysis and recognition - ICDAR 2024 : 18th International Conference, Athens, Greece, August 30-September 4, 2024, proceedings. Part II / Elisa H. Barney Smith, Marcus Liwicki, Liangrui Peng, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 14805.Publisher: Cham : Springer, [2024]Copyright date: ©2024Description: 1 online resource (xvii, 446 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031705366
  • 303170536X
Other title:
  • ICDAR 2024
Subject(s): Genre/Form: DDC classification:
  • 006.4/2 23/eng/20240909
LOC classification:
  • TA1630
Online resources: Summary: This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30-September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more. .
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International conference proceedings.

Includes author index.

This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30-September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more. .

Online resource; title from PDF title page (SpringerLink, viewed September 9, 2024).

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