Document Image Analysis - Current Trends and Challenges in Graphics Recognition

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.

List of 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.

Product details

• Authors: K C Santosh, K. C. Santosh, K.C. Santosh
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.12.2018
• EAN: 9789811347696
• ISBN: 978-981-1347-69-6
• No. of pages: 174
• Dimensions: 155 mm x 9 mm x 235 mm
• Weight: 342 g
• Illustrations: XX, 174 p. 70 illus., 46 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Computerhardware, COMPUTERS / Computer Graphics, COMPUTERS / Computer Vision & Pattern Recognition, Computers - General Information