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Document Analysis and Recognition - ICDAR 2024 [electronic resource] : 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part I / edited by Elisa H. Barney Smith, Marcus Liwicki, Liangrui Peng.

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TextSeries: Lecture Notes in Computer Science ; 14804Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVII, 490 p. 158 illus., 152 illus. in color. online resourceContent type:

text

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computer

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online resource

ISBN:

9783031705335

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

TA1501-1820
TA1634

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In: Springer Nature eBookSummary: 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. .

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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 semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more. .

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