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Document image analysiscurrent trend...

Santosh, K. C.

Document image analysiscurrent trends and challenges in graphics recognition /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Document image analysisby K. C. Santosh.
Reminder of title:	current trends and challenges in graphics recognition /
Author:	Santosh, K. C.
Published:	Singapore :Springer Singapore :2018.
Description:	xx, 174 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Pattern recognition systems.
Online resource:	https://doi.org/10.1007/978-981-13-2339-3
ISBN:	9789811323393$q(electronic bk.)

Document image analysiscurrent trends and challenges in graphics recognition /
Santosh, K. C.

Document image analysiscurrent trends and challenges in graphics recognition /[electronic resource] :by K. C. Santosh. - Singapore :Springer Singapore :2018. - xx, 174 p. :ill., digital ;24 cm.

Chapter 1. Document Image Processing: Graphics Recognition -- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation -- Chapter 3. Statistical Approaches -- Chapter 4. Structural and Syntactic Approaches -- Chapter 5. Hybrid Approaches -- Chapter 6. Challenges.

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.

ISBN: 9789811323393$q(electronic bk.)

Standard No.: 10.1007/978-981-13-2339-3doiSubjects--Topical Terms:

183725
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Document image analysiscurrent trends and challenges in graphics recognition /
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505 0 $a Chapter 1. Document Image Processing: Graphics Recognition -- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation -- Chapter 3. Statistical Approaches -- Chapter 4. Structural and Syntactic Approaches -- Chapter 5. Hybrid Approaches -- Chapter 6. Challenges.
520 $a 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.
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