Document Image Analysis: Current Trends and Challenges in Graphics Recognition - Brossura

Santosh, K.C.

 
9789811347696: Document Image Analysis: Current Trends and Challenges in Graphics Recognition
Brossura
ISBN 10: 9811347697 ISBN 13: 9789811347696
Casa editrice: Springer, 2020

Sinossi

The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined.

The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

The book focuses on one of the key issues in document image processing graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined.

The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
9811347697
ISBN 13 
9789811347696
Rilegatura
Copertina flessibile
Numero di pagine
196
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9789811323386: Document Image Analysis: Current Trends and Challenges in Graphics Recognition

Edizione in evidenza

ISBN 10:  9811323380 ISBN 13:  9789811323386
Casa editrice: Springer-Nature New York Inc, 2018
Rilegato