3 edition of Optical Pattern Recognition found in the catalog.
Optical Pattern Recognition
by Prentice Hall
Written in English
|The Physical Object|
Pattern recognition is a child of modern technology; electronics and computers in particular have inspired research and made it possible to develop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the s and which is beginning to produce commercial devices. A deceptively simple kind of optical pattern recognition deals with print and script. What seemed at one time to be a fairly easy problem area in automated reading of line-like patterns has turned.
Oct 01, · Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. This book constitutes the refereed proceedings of the 31st Symposium of the German Association for Pattern Recognition, DAGM , held in Jena, Germany, in September The 56 revised full papers were carefully reviewed and selected from numerous submissions.
ix, pp. ; illustrated with figures, photos and diagrams ; black cloth ; no dustjacket ; ex-lib, stamps, label, date due, pocket ; LCCN: ; Contents: The theory of character recognition -- The problem of character recognition form the point of view of mathematical statistics -- Spontaneous character differentiation -- On the correlation method of recognition -- On the effect of the. Mar 01, · 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.
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Optical Pattern Recognition [Francis T. Yu, Suganda Jutamulia] on esthetic-tokyo.com *FREE* shipping on qualifying offers. This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing techniques.
The first chapter is devoted to pattern recognition performed with optical esthetic-tokyo.com: Francis T. Optical Optical Pattern Recognition book Recognition [Francis T.S. Yu] on esthetic-tokyo.com *FREE* shipping on qualifying offers.
This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing techniques. The first chapter is devoted to pattern recognition performed with optical esthetic-tokyo.com: Francis T.S.
This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing techniques.
The first chapter is devoted to pattern recognition performed with optical correlators. Later chapters discuss new approaches based on neural networks, wavelet transforms, and the fractional Fourier transform.5/5(1).
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether Optical Pattern Recognition book a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text.
Chapter 22 Optical pattern recognition NDE principle Optical pattern recognition is a technique which is based upon the use of a video camera and a computer with the ability to store images.
The computer carries out operations upon and recognizes images which have been acquired by means of. Pattern Recognition is a novel by science fiction writer William Gibson published in Set in August and Septemberthe story follows Cayce Pollard, a year-old marketing consultant who has a psychological sensitivity to corporate esthetic-tokyo.com action takes place in London, Tokyo, and Moscow as Cayce judges the effectiveness of a proposed corporate symbol and is hired to seek the Author: William Gibson.
Oct 01, · Pattern recognition with optics Francis T. Yu and Don A. Gregory; 2. Hybrid neural networks for nonlinear pattern recognition Taiwei Lu; 3. Wavelets, optics, and pattern recognition Yao Li and Yunglong Sheng; 4. Applications of the fractional Fourier transform to optical pattern recognition David Mendlovic, Zeev Zalesky and Haldum M.
Oxaktas; esthetic-tokyo.com by: A book, written in French, by Tribillon gives a very complete state of the art of the optical pattern recognition in . The book edited in by Yu and Yin give also a complete overview Author: Mohammad S.
Alam. Optical pattern recognition 3. Optical pattern recognition three. Responsibility: David P. Casasent, Tien-Hsin Chao, chairs/editors ; sponsored and published by SPIE.
Optical pattern recognition 5 Optical pattern recognition five: Responsibility: David P. Casasent, Tien-Hsin Chao, chairs/editors ; AprilOrlando, Florida ; sponsored and published by SPIE--the International Society for Optical Engineering. This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing techniques.
The first chapter is devoted to pattern recognition performed with optical correlators. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing.
This book provides a needed review of this diverse background Cited by: Often abbreviated OCR, optical character recognition refers to the branch of computer science that involves reading text from paper and translating the images into a form that the computer can manipulate (for example, into ASCII codes).
An OCR system enables you to take a book or a magazine article, feed it directly into an electronic computer file, and then edit the file using a word processor. Real-Time Optical Information Processing covers the most recent developments in optical information processing, pattern recognition, neural computing, and materials for devices in optical computing.
Intended for researchers and graduate students in signal and information processing with some elementary background in optics, the book provides both theoretical and practical information on the.
To solve the pattern recognition problem, a method of synthesized phase objects (SPO-method) is suggested. The essence of the suggested method is that synthesized phase objects are used instead of real amplitude objects.
The former is object-dependent phase distributions calculated using the iterative Fourier transform algorithm. The method is experimentally studied with an optical-digital Author: Pavel V.
Yezhov, Alexander P. Ostroukh, Jin-Tae Kim, AlexanderV. Kuzmenko. This book is an edited volume and has six chapters arranged into two sections, namely, pattern recognition analysis and pattern recognition applications. This book will be useful for graduate students, researchers, and practicing engineers working in the field of Cited by: 1.
1) "Pattern Recognition and Machine Learning" by Christopher M. Bishop Probably the best book in this field. The treatment is exhaustive, consumable-for-all and supported by ample examples and illustrations.
Would suggest this as a primer. The aut. Implementation of bipolar real-valued input scenes in a real-time optical correlator: application to color pattern recognition Ignacio Moreno, Juan Campos, Maria J.
Yzuel, Vitaly Kober (Optical Engineering ). Pattern Recognition and Machine Learning (Information Science and Statistics) Pattern Recognition, Fourth Edition Introduction to Pattern Recognition: A Matlab Approach The Shirtmaking Workbook: Pattern, Design, and Construction Resources - More than Pattern Downloads for Collars, Cuffs.
Optical Pattern Recognition by Francis T. Yu,available at Book Depository with free delivery worldwide. Aug 01, · Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades.
This comprehensive handbook, with chapters by leading experts in their fields, documents both the basics and new and advanced results. The book.This book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example).Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date.
There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of.