Correlation Pattern Recognition

B. V. K. Vijaya Kumar

ISBN 10: 0521153484 / ISBN 13: 9780521153485

Published by Cambridge University Press, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Seller Inventory # 9780521153485

Bibliographic Details

• Title: Correlation Pattern Recognition
• Publisher: Cambridge University Press
• Publication Date: 2010
• Language: English
• ISBN 10: 0521153484
• ISBN 13: 9780521153485
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 22D millimeters 244 millimeters width by 170 millimeters height by 22 millimeters depth
• Weight: 695 grams

About this title

Synopsis

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 technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.

Book Description

This 2005 book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.