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Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 2126, 2023, Proceedings, Part I 1st ed. 2023 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 555 pages, aukštis x plotis: 235x155 mm, weight: 872 g, 177 Illustrations, color; 22 Illustrations, black and white; XX, 555 p. 199 illus., 177 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 14187
  • Išleidimo metai: 19-Aug-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031416759
  • ISBN-13: 9783031416750
Kitos knygos pagal šią temą:
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 2126, 2023, Proceedings, Part I 1st ed. 2023Didesnis paveikslėlis
  • Formatas: Paperback / softback, 555 pages, aukštis x plotis: 235x155 mm, weight: 872 g, 177 Illustrations, color; 22 Illustrations, black and white; XX, 555 p. 199 illus., 177 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 14187
  • Išleidimo metai: 19-Aug-2023
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031416759
  • ISBN-13: 9783031416750
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031416750.html
Raktažodžiai:
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations.





The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Graphics Recognition.- Document Analysis and Recognition.- Frontiers in
Handwriting Recognition.- Document Analysis and Systems.- Document Analysis
Systems.- Document Layout and Parsing.-  Document Information Extraction,
Handwriting Recognition.- Scene Text Detection and Recognition.- Document
Image Processing.- Historical Document Analysis.- NLP for Document
Understanding.- Graphics.-  Table, Chart and Math Recognition.