Книга “Системы распознавания персонажей” автор Mohamed Cheriet.
Книга посвящена теории и практике распознавания паттернов, включая такие методы, как машины опорных векторов. Она была написана известными учеными, которые работали в этой области много лет и внесли значительный и долговременный вклад. Книга, несомненно, будет полезна для студентов и практиков. - Саргур Н. Шрихари, профессор SUNY, директор Центра передового опыта по анализу документов и распознаванию (CEDAR) при Университете в Буффало, штат Нью-Йорк. Дисциплины оптического распознавания символов и анализа изображений документов имеют более чем сорокалетнюю историю. За последнее десятилетие важность и популярность этих областей значительно возросли. Однако, к удивлению, эта область не достаточно представлена ни в одном учебнике. Эта книга была написана выдающимися лидерами в этой области и включает все важные темы в области оптического распознавания символов и документального анализа.
Многое из теории распознавания образов и практики, включая методы, такие как машины опорных векторов, было развито в рамках решения задачи распознавания символов. Эту книгу написали очень известные ученые, которые работают в этой области многие годы и внесли значительный и долговременный вклад. Книга, несомненно, будет полезной для студентов и практиков.
Электронная Книга «Character Recognition Systems» написана автором Mohamed Cheriet в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9780470176528
Описание книги от Mohamed Cheriet
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 York «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.» -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland 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. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * 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 * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results 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.
