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Document Image Analysis

Current Trends and Challenges in Graphics Recognition

  • K.C. Santosh

Table of contents

  1. Front Matter
    Pages i-xx
  2. K. C. Santosh
    Pages 1-15
  3. K. C. Santosh
    Pages 17-34
  4. K. C. Santosh
    Pages 53-80
  5. K. C. Santosh
    Pages 81-119
  6. K. C. Santosh
    Pages 121-143
  7. K. C. Santosh
    Pages 145-161
  8. K. C. Santosh
    Pages 163-169
  9. Back Matter
    Pages 171-174

About this book

Introduction

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.

Keywords

Graphics recognition Document image processing Pattern recognition Computer vision Artificial intelligence

Authors and affiliations

  • K.C. Santosh
    • 1
  1. 1.Department of Computer ScienceUniversity of South DakotaVermillionUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-2339-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-2338-6
  • Online ISBN 978-981-13-2339-3
  • Buy this book on publisher's site