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Document Image Analysis

Autor K. C. Santosh
en Limba Engleză Paperback – 16 dec 2018
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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Specificații

ISBN-13: 9789811347696
ISBN-10: 9811347697
Pagini: 196
Ilustrații: XX, 174 p. 70 illus., 46 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st edition 2018
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Details one of the key issues in document image processing – graphical symbol recognition, retrieval, and spotting within the purview of pattern recognition Includes research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and associated research directions Covers several approaches: statistical, structural, syntactic and hybrid, and addresses their merits and demerits considering the context Addresses complex and composite graphical symbols recognition motivated by real-world industrial problems, including major day-to-day challenges