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Pattern recognition technologies and applications : recent advances

Author: Brijesh Verma; Michael Blumenstein
Publisher: Hershey, PA : Information Science Reference, ©2008.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification"--Provided by publisher.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Brijesh Verma; Michael Blumenstein
ISBN: 9781599048079 1599048078 9781599048093 1599048094
OCLC Number: 171287680
Notes: "Premier reference source"--Cover.
Description: xviii, 435 pages : illustrations ; 29 cm
Contents: Fusion of segmentation strategies for off-line cursive handwriting recognition --
Elastic matching techniques for handwritten character recognition --
State of the art in off-line signiture verification --
An automatic off-line signature verification and forgery detection system --
Introduction to speech recognition --
Seeking patterns in the forensic analysis of handwriting and speech --
Image pattern recognition-based morphological structure and applications --
Robust face recognition technique for a real-time embedded face recognition system --
Occlusion sequence mining for activity discovery from surveillance videos --
Human detection in static images --
Significance of logic synthesis in FPGA-based design of image signal procssing systems --
A novel support vector machine with class-dependent features for biomedical data --
A unified approach to support vector machines --
Cluster ensemble and multi-objective clustering methods --
Implementing negative correlation learning in evoloutionary ensembles with suitable speciatiton techniques --
A recurrent probabilistic neural network for EMG pattern recognition.
Responsibility: Brijesh Verma, Michael Blumenstein [editors].
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Abstract:

With increases in the amount of signature verification needs, internet and paper-based automated recognition methods are necessary. This work provides pattern recognition techniques and applications.  Read more...

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