Cheriet / Kharma / Liu Character Recognition Systems

A Guide for Students and Practitioners
1. Auflage 2008
ISBN: 978-0-470-17652-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 352 Seiten, E-Book

"Much of pattern recognition theory and practice, including methodssuch as Support Vector Machines, has emerged in an attempt to solvethe character recognition problem. This book is written by verywell-known academics who have worked in the field for many yearsand have made significant and lasting contributions. The book willno doubt be of value to students and practitioners."
-Sargur N. Srihari, SUNY Distinguished Professor, Department ofComputer Science and Engineering, and Director, Center ofExcellence for Document Analysis and Recognition (CEDAR),University at Buffalo, The State University of New York
"The disciplines of optical character recognition and documentimage analysis have a history of more than forty years. In the lastdecade, the importance and popularity of these areas have grownenormously. Surprisingly, however, the field is not well covered byany textbook. This book has been written by prominent leaders inthe field. It includes all important topics in optical characterrecognition and document analysis, and is written in a verycoherent and comprehensive style. This book satisfies an urgentneed. It is a volume the community has been awaiting for a longtime, and I can enthusiastically recommend it to everybody workingin the area."
-Horst Bunke, Professor, Institute of Computer Science and AppliedMathematics (IAM), University of Bern, Switzerland
In Character Recognition Systems, the authors provide practitionersand students with the fundamental principles and state-of-the-artcomputational methods of reading printed texts and handwrittenmaterials. The information presented is analogous to the stages ofa computer recognition system, helping readers master the theoryand latest methodologies used in character recognition in ameaningful way.
This book covers:
* Perspectives on the history, applications, and evolution of OpticalCharacter Recognition (OCR)
* The most widely used pre-processing techniques, as well as methodsfor extracting character contours and skeletons
* Evaluating extracted features, both structural andstatistical
* Modern classification methods that are successful in characterrecognition, including statistical methods, Artificial NeuralNetworks (ANN), Support Vector Machines (SVM), structural methods,and multi-classifier methods
* An overview of word and string recognition methods andtechniques
* Case studies that illustrate practical applications, withdescriptions of the methods and theories behind the experimentalresults
Each chapter contains major steps and tricks to handle the tasksdescribed at-hand. Researchers and graduate students in computerscience and engineering will find this book useful for designing aconcrete system in OCR technology, while practitioners will rely onit as a valuable resource for the latest advances and moderntechnologies that aren't covered elsewhere in a single book.

Autoren/Hrsg.

Cheriet, Mohammed

Kharma, Nawwaf

Liu, Cheng-Lin

Suen, Ching

Über Autor(innen)

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.