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Optical Character Recognition Systems for Different Languages with Soft Computing

  • Arindam Chaudhuri
  • Krupa Mandaviya
  • Pratixa Badelia
  • Soumya K Ghosh

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

Table of contents

  1. Front Matter
    Pages i-xix
  2. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 1-7
  3. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 9-41
  4. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 43-83
  5. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 85-107
  6. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 109-136
  7. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 137-164
  8. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 165-191
  9. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 193-216
  10. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 217-240
  11. Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh
    Pages 241-245
  12. Back Matter
    Pages 247-248

About this book

Introduction

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.

Keywords

OCR Technology Recognition Accuracy Digitizing Texts Machine-encoded Texts Soft Computing Models for OCR Systems Uncertainty Techniques OCR Errors Uncertain and Vague Information Fuzzy Feature Extraction Fuzzy Rough Support Vector Machines

Authors and affiliations

  • Arindam Chaudhuri
    • 1
  • Krupa Mandaviya
    • 2
  • Pratixa Badelia
    • 3
  • Soumya K Ghosh
    • 4
  1. 1.Samsung R&D Institute Delhi NoidaIndia
  2. 2.MEFGI Engineering College RajkotIndia
  3. 3.MEFGI Engineering College RajkotIndia
  4. 4.Department of Computer Science EngineeriIndian Institute of Technology Department of Computer Science EngineeriKharagpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-50252-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-50251-9
  • Online ISBN 978-3-319-50252-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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