Document Analysis and Recognition ICDAR 2021 (Paperback). Cet article n’est pas disponible.
Langue : anglais
Edité par Springer Nature Switzerland AG, Cham, 2021
- Éd. originale
- Livre broché
- Neuf

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Vendeur AbeBooks depuis 12 octobre 2005
Etat: Neuf
EUR 62,58
A propos de cet article
Paperback. This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
N° de réf. du vendeur 9783030863333
- Titre
- Document Analysis and Recognition ICDAR 2021 (Paperback)
- Auteur
- Daniel Lopresti
- Éditeur
- Springer Nature Switzerland AG, Cham
- Année de publication
- 2021
- État de l'article
- new
- Reliure
- Paperback
- Langue
- anglais
- ISBN à 10 chiffres
- 3030863336
- ISBN à 13 chiffres
- 9783030863333
- Édition
- Edition originale
This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.
The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.