Pattern Recognition

Ideas in Practice

  • Bruce G. Batchelor

Table of contents

  1. Front Matter
    Pages i-xv
  2. Methods and Machines

    1. B. G. Batchelor
      Pages 1-14
    2. Donald A. Bell
      Pages 117-141
    3. M. J. B. Duff
      Pages 143-174
    4. J. A. G. Halé, P. Saraga
      Pages 175-202
    5. C. M. Brown, R. J. Popplestone
      Pages 203-228
  3. Applications

    1. J. R. Parks
      Pages 251-286
    2. D. Rutovitz, D. K. Green, A. S. J. Farrow, D. C. Mason
      Pages 301-329
    3. D. W. Thomas
      Pages 331-361
    4. W. A. Ainsworth, P. D. Green
      Pages 363-396
    5. C. D. Binnie, G. F. Smith, B. G. Batchelor
      Pages 397-426
    6. E. A. Newman
      Pages 427-462
    7. B. G. Batchelor
      Pages 463-471
  4. Back Matter
    Pages 473-485

About this book

Introduction

Pattern recognition is a child of modern technology; electronics and computers in particular have inspired research and made it possible to develop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subject, but there is evidence of a schism developing between these two approaches. Practical machines have usually been designed on an ad hoc basis, with little use being made of advanced theory. It is difficult to provide a rigorous mathematical treatment of many problems pertinent to a practical situation. This is due, in part at least, to a conceptual rift between theory and practice. The mathematics of optimal systems is well developed, whereas pragmatists are more concerned with vaguer ideas of reasonable and sufficient. In some situations, the quest for optimality can constrain research and retard practical progress. This can occur, for example, if too narrow a view is taken of "optimal": the accuracy of a system may be optimal whereas its speed, cost, or physical size may be grossly suboptimal. The objective of this book is to present a glimpse of the pragmatic approach to pattern recognition; there already exist a number of excellent texts describing theoretical developments.

Keywords

Excel classification computer design eXist feature extraction field filtering image analysis image filtering object pattern pattern recognition speech recognition system

Editors and affiliations

  • Bruce G. Batchelor
    • 1
  1. 1.University of SouthamptonEngland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-4154-3
  • Copyright Information Springer-Verlag US 1978
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4156-7
  • Online ISBN 978-1-4613-4154-3
  • About this book
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