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Technical Character Recognition Systems: A Guide for Students and Practitioners

Posted on 2010-03-17




Name:Technical Character Recognition Systems: A Guide for Students and Practitioners
ASIN/ISBN:0471415707
Language:English
File size:3.2 Mb
Publish Date: 2007-10-12
ISBN: 0471415707
File Type: PDF
Pages: 360 pages
File Size: 3,2 Mb
Other Info: Wiley-Interscience
   Technical Character Recognition Systems: A Guide for Students and Practitioners

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Bestselling author Deepak Chopra brings the Buddha back to life in this gripping novel of the young prince who abandoned his inheritance to discover his true calling. This iconic journey changed the world forever, and the truths revealed continue to influence every corner of the globe today. & 8220;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.& 8221;

-Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, left of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York & 8220;The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area.& 8221;

-Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland

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