Document Analysis and Recognition - ICDAR 2024
18th International Conference, Athens, Greece, August 30-September 4, 2024, Proceedings, Part VI
Herausgegeben: Barney Smith, Elisa H.; Liwicki, Marcus; Peng, Liangrui
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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 s...
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.
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.
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.
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