1.

Record Nr.

UNISA996546852203316

Autore

Fink Gernot A

Titolo

Document Analysis and Recognition - ICDAR 2023 [[electronic resource] ] : 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part IV / / edited by Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-41685-6

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (483 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14190

Altri autori (Persone)

JainRajiv

KiseKoichi

ZanibbiRichard

Disciplina

006.35

Soggetti

Natural language processing (Computer science)

Machine learning

Education - Data processing

Image processing - Digital techniques

Computer vision

Computer engineering

Computer networks

Social sciences - Data processing

Natural Language Processing (NLP)

Machine Learning

Computers and Education

Computer Imaging, Vision, Pattern Recognition and Graphics

Computer Engineering and Networks

Computer Application in Social and Behavioral Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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-- Scene Text Detection and Recognition -- Document Image Processing -- Historical Document Analysis -- NLP for Document Understanding -- Graphics -- Table, Chart and Math Recognition.

Sommario/riassunto

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 2021, 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.