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Optical Character Recognition Systems for Different Languages with Soft Computing

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  • © 2017

Overview

Authors:
  1. Arindam Chaudhuri

    1. Samsung R&D Institute Delhi , Noida, India

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  2. Krupa Mandaviya

    1. MEFGI Engineering College , Rajkot, India

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  3. Pratixa Badelia

    1. MEFGI Engineering College , Rajkot, India

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  4. Soumya K Ghosh

    1. Department of Computer Science Engineeri, Indian Institute of Technology Department of Computer Science Engineeri, Kharagpur, India

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  • Describes novel soft-computing methods developed by the authors
  • Highlights the advantages of soft computing models for optical character recognition (OCR) systems in comparison to traditional methods
  • Includes various case studies involving different languages
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 352)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Introduction

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 1-7

  3. Optical Character Recognition Systems

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 9-41

  4. Soft Computing Techniques for Optical Character Recognition Systems

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 43-83

  5. Optical Character Recognition Systems for English Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 85-107

  6. Optical Character Recognition Systems for French Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 109-136

  7. Optical Character Recognition Systems for German Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 137-164

  8. Optical Character Recognition Systems for Latin Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 165-191

  9. Optical Character Recognition Systems for Hindi Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 193-216

  10. Optical Character Recognition Systems for Gujrati Language

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 217-240

  11. Summary and Future Research

    • Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 241-245

  12. Back Matter

    Pages 247-248
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Keywords

About this book

The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

Authors and Affiliations

  • Samsung R&D Institute Delhi , Noida, India

    Arindam Chaudhuri

  • MEFGI Engineering College , Rajkot, India

    Krupa Mandaviya, Pratixa Badelia

  • Department of Computer Science Engineeri, Indian Institute of Technology Department of Computer Science Engineeri, Kharagpur, India

    Soumya K Ghosh

Bibliographic Information

  • Book Title: Optical Character Recognition Systems for Different Languages with Soft Computing

  • Authors: Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K Ghosh

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-319-50252-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-50251-9Published: 03 January 2017

  • Softcover ISBN: 978-3-319-84357-5Published: 07 July 2018

  • eBook ISBN: 978-3-319-50252-6Published: 23 December 2016

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XIX, 248

  • Number of Illustrations: 95 b/w illustrations

  • Topics: Computational Intelligence, Pattern Recognition, Computational Linguistics, Artificial Intelligence

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