1.

Record Nr.

UNISA996546852003316

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 I / / edited by Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi

Pubbl/distr/stampa

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

ISBN

3-031-41676-7

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (561 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14187

Altri autori (Persone)

JainRajiv

KiseKoichi

ZanibbiRichard

Disciplina

006

Soggetti

Image processing - Digital techniques

Computer vision

Computer engineering

Computer networks

Machine learning

Natural language processing (Computer science)

Social sciences - Data processing

Education - Data processing

Computer Imaging, Vision, Pattern Recognition and Graphics

Computer Engineering and Networks

Machine Learning

Natural Language Processing (NLP)

Computer Application in Social and Behavioral Sciences

Computers and Education

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-- Scene Text Detection and Recognition -- Document Image Processing -- Historical Document Analysis -- NLP for Document Understanding -- Graphics -- Table, Chart and Math Recognition.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