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Correlation Pattern Recognition - B. V. K. Vijaya Kumar

Paperback

Published: 10th June 2010
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains state-of-the-art technology presented by the team that developed it and includes case studies of significant current interest, such as face and fingerprint recognition. Suitable for advanced undergraduate or graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Review of the hardback: ' ... well-written with many diagrams and gray-scale images to illustrate the concepts ... would be especially useful for pattern recognition practitioners interested in expanding their tool dchest b eyond basic correlation.' IAPR Newsletter

Preface
Introduction
Mathematical background
Linear systems and filtering theory
Detection and estimation
Correlation filter basics
Advanced correlation filters
Optical considerations
Limited-modulation filters
Applications of correlation filters
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780521153485
ISBN-10: 0521153484
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 404
Published: 10th June 2010
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 24.4 x 17.0  x 2.1
Weight (kg): 0.64