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VLSI for Pattern Recognition and Image Processing

  • King-sun Fu

Part of the Springer Series in Information Sciences book series (SSINF, volume 13)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Introduction

    1. K. S. Fu
      Pages 1-5
  3. General VLSI Design Considerations

  4. VLSI Systems for Pattern Recognition

    1. Front Matter
      Pages 43-43
    2. Hsi-Ho Liu, King-Sun Fu
      Pages 45-63
    3. Y. P. Chiang, K. S. Fu
      Pages 85-104
  5. VLSI Systems for Image Processing

    1. Front Matter
      Pages 105-105
    2. G. R. Nudd
      Pages 107-132
    3. S.-Y. Kung, J. T. Johl
      Pages 133-155
    4. M. J. Clarke, C. R. Dyer
      Pages 157-173
    5. K. Preston Jr., A. G. Kaufman, C. Sobey
      Pages 175-194
    6. Z. Z. Stroll, S.-C. Kang
      Pages 209-229
  6. Back Matter
    Pages 231-236

About this book

Introduction

During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). This inter­ est has created an increasing need for methods and techniques for the design of PRIP systems. PRIP involves analysis, classification and interpretation of data. Practical applications of PRIP include character recognition, re­ mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding. One difficulty in making PRIP systems practically feasible, and hence, more popularly used, is the requirement of computer time and storage. This situation is particularly serious when the patterns to be analyzed are quite complex. Thus it is of the utmost importance to investigate special comput­ er architectures and their implementations for PRIP. Since the advent of VLSI technology, it is possible to put thousands of components on one chip. This reduces the cost of processors and increases the processing speed. VLSI algorithms and their implementations have been recently developed for PRIP. This book is intended to document the recent major progress in VLSI system design for PRIP applications.

Keywords

Bildverarbeitung Mustererkennung VLSI algorithm algorithms classification fingerprint image processing pattern pattern recognition system design

Editors and affiliations

  • King-sun Fu
    • 1
  1. 1.School of Electrical EngineeringPurdue UniversityWest LafayetteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-47523-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 1984
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-47527-6
  • Online ISBN 978-3-642-47523-8
  • Series Print ISSN 0720-678X
  • Buy this book on publisher's site