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Document Image Analysis

Current Trends and Challenges in Graphics Recognition

  • Book
  • © 2018

Overview

  • Details one of the key issues in document image processing – graphical symbol recognition, retrieval, and spotting within the purview of pattern recognition

  • Includes research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and associated research directions

  • Covers several approaches: statistical, structural, syntactic and hybrid, and addresses their merits and demerits considering the context

  • Addresses complex and composite graphical symbols recognition motivated by real-world industrial problems, including major day-to-day challenges

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Table of contents (8 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Department of Computer Science, University of South Dakota, Vermillion, USA

    K.C. Santosh

Bibliographic Information

  • Book Title: Document Image Analysis

  • Book Subtitle: Current Trends and Challenges in Graphics Recognition

  • Authors: K.C. Santosh

  • DOI: https://doi.org/10.1007/978-981-13-2339-3

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-13-2338-6Published: 02 October 2018

  • Softcover ISBN: 978-981-13-4769-6Published: 16 December 2018

  • eBook ISBN: 978-981-13-2339-3Published: 18 September 2018

  • Edition Number: 1

  • Number of Pages: XX, 174

  • Number of Illustrations: 24 b/w illustrations, 46 illustrations in colour

  • Topics: Pattern Recognition, Image Processing and Computer Vision, Computer Graphics

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