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Document Image Analysis Current Trends and Challenges in Graphics Recognition
Author
Title
Document Image Analysis [electronic resource] : Current Trends and Challenges in Graphics Recognition / by K.C. Santosh.
ISBN
9789811323393
Publication
Singapore : Springer Singapore : Imprint: Springer, 2018.
Physical Description
1 online resource (XX, 174 p.) 70 illus., 46 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 25, 2018
Contents
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.
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