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Document Analysis and Recognition - ICDAR 2024
Details
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 30September 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.
Chapter The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031705519
- Herausgeber Springer Nature Switzerland
- Anzahl Seiten 464
- Lesemotiv Verstehen
- Genre Software
- Editor Elisa H. Barney Smith, Liangrui Peng, Marcus Liwicki
- Sprache Englisch
- Gewicht 698g
- Untertitel 18th International Conference, Athens, Greece, August 30-September 4, 2024, Proceedings, Part VI
- Größe H235mm x B155mm x T25mm
- Jahr 2024
- EAN 9783031705519
- Format Kartonierter Einband
- ISBN 3031705513
- Veröffentlichung 11.09.2024
- Titel Document Analysis and Recognition - ICDAR 2024