B. V. K. Vijaya Kumar, Abhijit Mahalanobis, Richard D. Juday

Correlation Pattern Recognition

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 404
• Erscheinungstermin: 16. Februar 2016
• Englisch
• Abmessung: 250mm x 175mm x 26mm
• Gewicht: 954g
• ISBN-13: 9780521571036
• ISBN-10: 0521571030
• Artikelnr.: 14684650

Autorenporträt

Professor B. V. K. Vijaya Kumar has been a faculty member of the Department of Electrical and Computer Engineering at Carnegie Mellon University since 1982 and was made a full Professor in 1991. He is a senior member of the IEEE and a fellow of the SPIE and the OSA. He has authored or co-authored 7 book chapters and over 300 technical papers.

Inhaltsangabe

Preface; 1. Introduction; 2. Mathematical background; 3. Linear systems and filtering theory; 4. Detection and estimation; 5. Correlation filter basics; 6. Advanced correlation filters; 7. Optical considerations; 8. Limited-modulation filters; 9. Applications of correlation filters; References; Index.

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Preface
1. Introduction
2. Mathematical background
3. Linear systems and filtering theory
4. Detection and estimation
5. Correlation filter basics
6. Advanced correlation filters
7. Optical considerations
8. Limited-modulation filters
9. Applications of correlation filters
References
Index.

Rezensionen

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