{"product_id":"9780471415701","title":"Character Recognition Systems A Guide for Students and Practitioners","description":"\u003ch1\u003eCharacter Recognition Systems\u003c\/h1\u003e\u003ch2\u003eA Guide for Students and Practitioners\u003c\/h2\u003e\u003ch3\u003eMohamed Cheriet | Nawwaf Kharma | Cheng-Lin Liu | Ching Suen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Electronics \/ Digital\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\"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.\"\u003cbr\u003e -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 York\u003cbr\u003e \u003cbr\u003e \"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.\"\u003cbr\u003e -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland\u003cbr\u003e \u003cbr\u003e In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way.\u003cbr\u003e \u003cbr\u003e This book covers:\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR)\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e Evaluating extracted features, both structural and statistical\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e An overview of word and string recognition methods and techniques\u003cbr\u003e *\u003cbr\u003e \u003cbr\u003e Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results\u003cbr\u003e \u003cbr\u003e Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eProfessor Mohamed Cheriet\u003c\/b\u003e is currently Professor of Computer and Electrical Engineering at the University of Concordia. He has published extensively on the subjects of pattern and character recognition, and machine intelligence.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProfessor Nawwaf Kharma\u003c\/b\u003e has been an assistant professor for the Department of Electrical and Computer Engineering at Concordia University since 2000.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Cheng-Lin Liu\u003c\/b\u003e worked for Hitachi until the beginning of 2005, and then joined the Institute of Automation at the Chinese Academy of Sciences in Beijing. He is also a member of the IEEE.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProfessor Ching Suen\u003c\/b\u003e is Director for the Center for Pattern Recognition, working under the fields of artificial intelligence, human-computer communications, and pattern recognition.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 October 2007\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471415701\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e360\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e22.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44380024078476,"sku":"9780471415701","price":161.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471415701.jpg?v=1780176076","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471415701","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}