Document Image Analysis

Current Trends and Challenges in Graphics Recognition

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2018
ISBN13: 9789811323386
Rubricering
Springer Nature Singapore e druk, 2018 9789811323386
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811323386
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

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

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        Document Image Analysis