Pattern Recognition

1. Front Matter

   Pages i-xv

   PDF

2. Methods and Machines

   1. Setting the Scene

      • B. G. Batchelor

      Pages 1-14

   2. A Review of Optical Pattern Recognition Techniques

      • J. R. Ullmann

      Pages 15-39

   3. Pattern Recognition with Networks of Memory Elements

      • I. Aleksander

      Pages 41-64

   4. Classification and Data Analysis in Vector Spaces

      • B. G. Batchelor

      Pages 65-116

   5. Decision Trees, Tables, and Lattices

      • Donald A. Bell

      Pages 117-141

   6. Parallel Processing Techniques

      • M. J. B. Duff

      Pages 143-174

   7. Digital Image Processing

      • J. A. G. Halé, P. Saraga

      Pages 175-202

   8. Cases in Scene Analysis

      • C. M. Brown, R. J. Popplestone

      Pages 203-228

3. Applications

   1. The Control of a Printed Circuit Board Drilling Machine by Visual Feedback

      • J. A. G. Halé, P. Saraga

      Pages 229-250

   2. Industrial Sensory Devices

      • J. R. Parks

      Pages 251-286

   3. Image Analysis of Macromolecular Structures

      • L. A. Amos

      Pages 287-300

   4. Computer- Assisted Measurement in the Cytogenetic Laboratory

      • D. Rutovitz, D. K. Green, A. S. J. Farrow, D. C. Mason

      Pages 301-329

   5. Vehicle Sounds and Recognition

      • D. W. Thomas

      Pages 331-361

   6. Current Problems in Automatic Speech Recognition

      • W. A. Ainsworth, P. D. Green

      Pages 363-396

   7. Pattern Recognition in Electroencephalography

      • C. D. Binnie, G. F. Smith, B. G. Batchelor

      Pages 397-426

   8. Scene Analysis: Some Basics

      • E. A. Newman

      Pages 427-462

   9. Social Aspects of Pattern Recognition

      • B. G. Batchelor

      Pages 463-471

4. Back Matter

   Pages 473-485

   PDF

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.

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

• University of Southampton, England

  Bruce G. Batchelor

Policies and ethics