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Mohammed Cheriet

Character Recognition Systems

A Guide for Students and Practitioners

Buch

Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners.-Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New YorkThe disciplines of optical charac… Mehr

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Produktdetails


Weitere Autoren: Kharma, Nawwaf / Liu, Cheng-Lin / Suen, Ching
  • ISBN: 978-0-471-41570-1
  • EAN: 9780471415701
  • Produktnummer: 2928576
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2007
  • Seitenangabe: 360 S.
  • Masse: H23.7 cm x B16.3 cm x D2.3 cm 635 g
  • Gewicht: 635

Über den Autor


Mohamed Cheriet is Professor in the Department of Automation Engineering at the École de Technologie Supérieure of University of Quebec, Montreal. He is the Director of Synchromedia Consortium, working in the fields of image processing, document analysis and recognition, learning algorithms, perception, and intellipresence. Nawwaf Kharma is Associate Professor in the Department of Computer and Electrical Engineering at Concordia University, Montreal. He is Director of the Concordia Computational Intelligence Lab (CeCIL) and a member of the ACM-SIGEVO. ChenG-LIn Liu is a Research Professor and the Deputy Director of the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. He is working in the fields of pattern recognition, machine learning, and document analysis. Ching Y. Suen is the Director of the Centre for Pattern Recognition and Machine Intelligence of Concordia University in Montreal, working in the fields of handwriting recognition and human-computer communications.

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