Format:
Online-Ressource (1 online resource (404 p.))
,
digital, PDF file(s).
Edition:
Online-Ausg.
ISBN:
9780511541087
Content:
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 2005 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
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9780521571036
Additional Edition:
ISBN 9780521153485
Additional Edition:
Erscheint auch als Druck-Ausgabe Kumar, B. V. K. Vijaya, - 1953- Correlation pattern recognition Cambridge [u.a.] : Cambridge Univ. Press, 2005 ISBN 9780521571036
Additional Edition:
ISBN 0521571030
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521571036
Language:
English
Subjects:
Computer Science
Keywords:
Mustererkennung
;
Korrelationsanalyse
DOI:
10.1017/CBO9780511541087
