國立虎尾科技大學 |

Correlation pattern recognition /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Correlation pattern recognition // B.V.K. Vijaya Kumar, Abhijit Mahalanobis, Richard Juday.
作者:	Kumar, B. V. K. Vijaya,
其他作者:	Mahalanobis, Abhijit,
面頁冊數:	1 online resource (xii, 390 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Pattern recognition systems. -
電子資源:	https://doi.org/10.1017/CBO9780511541087
ISBN:	9780511541087 (ebook)

Correlation pattern recognition /
Kumar, B. V. K. Vijaya,1953-

Correlation pattern recognition /B.V.K. Vijaya Kumar, Abhijit Mahalanobis, Richard Juday. - 1 online resource (xii, 390 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511541087 (ebook)Subjects--Topical Terms:

557384
Pattern recognition systems.

LC Class. No.: TK7882.P3 / K82 2005

Dewey Class. No.: 006.4

Correlation pattern recognition /
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520 $a 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.
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