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Optical Character Recognition

An Illustrated Guide to the Frontier

  • Stephen V. Rice
  • George Nagy
  • Thomas A. Nartker

Table of contents

  1. Front Matter
    Pages i-vii
  2. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 1-6
  3. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 7-60
  4. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 61-85
  5. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 87-111
  6. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 113-163
  7. Stephen V. Rice, George Nagy, Thomas A. Nartker
    Pages 165-169
  8. Back Matter
    Pages 171-196

About this book

Introduction

Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress.
Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography.
Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.

Keywords

artificial intelligence cognition information retrieval intelligence optical character recognition (OCR) pattern pattern recognition performance proving

Authors and affiliations

  • Stephen V. Rice
    • 1
  • George Nagy
    • 2
  • Thomas A. Nartker
    • 3
  1. 1.Comparisonics CorporationUSA
  2. 2.Rensselaer Polytechnic InstituteUSA
  3. 3.University of NevadaLas VegasUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5021-1
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7281-3
  • Online ISBN 978-1-4615-5021-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site