Document Image Analysis

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Details

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.


Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789811323386
    • Auflage 1st edition 2018
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H241mm x B160mm x T16mm
    • Jahr 2018
    • EAN 9789811323386
    • Format Fester Einband
    • ISBN 9811323380
    • Veröffentlichung 02.10.2018
    • Titel Document Image Analysis
    • Autor K. C. Santosh
    • Untertitel Current Trends and Challenges in Graphics Recognition
    • Gewicht 501g
    • Herausgeber Springer Nature Singapore
    • Anzahl Seiten 196
    • Lesemotiv Verstehen

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