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Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
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Pattern Recognition
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Video Text Detection (Advances in Computer Vision and Pattern Recognition)
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Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists
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Optical Character Recognition: An Illustrated Guide to the Frontier (The Springer International Series in Engineering and …
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Statistical Pattern Recognition
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets, 4)
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< p>Essentials of Pattern Recognition: An Accessible Approach
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Netlab
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Pattern Recognition with Neural Networks in C++
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Handbook of 3D Machine Vision: Optical Metrology and Imaging (Series in Optics and Optoelectronics)
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Checkerboard Pattern, 3d Optical Illusion Checkered Pattern Metal Print by Vintagemashup
Immortalize your favorite art on durable lightweight aluminum that will outlive us all Choose your finish: Gloss, for brilliant colors and detail, or Matte, for a soft, even look with minimal glare Gently rounded corners Easily wipe clean with a soft cloth Ready to hang, with a back mount fixture so the art seems to float in front of the wall
Optical Pattern Recognition
| Author: Francis T. S. Yu, Suganda Jutamulia | Publisher: Cambridge University Press | Publication Date: Oct 01, 2008 | Number of Pages: 460 pages | Language: English | Binding: Paperback | ISBN-10: 0521088623 | ISBN-13: 9780521088626
Optics and Optoelectronics: Fourier Optics in Image Processing (Hardcover)
This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. A wide range of devices are addressed from a user perspective and are accompanied with detailed tables enabling performance comparison, in addition to chapters exploring computer-generated holograms, optical correlator systems, and pattern matching algorithms. This book will appeal to both lecturers and research scientists in the field of electro-optic devices and systems. Features: Covers a range of new developments, including computer-generated holography and 3D image recognition Accessible without a range of prior knowledge, providing a clear exposition of technically difficult concepts Contains extensive examples throughout to reinforce learning Optics and Optoelectronics: Fourier Optics in Image Processing (Hardcover)
Optical Character Recognition: An Illustrated Guide To The Frontier (The Springer International Series In Engineering And Com
| Author: Stephen V. Rice, George Nagy, Thomas A. Nartker | Publisher: Springer | Publication Date: May 31, 1999 | Number of Pages: 203 pages | Language: English | Binding: Hardcover | ISBN-10: 079238492X | ISBN-13: 9780792384922
Correlation Pattern Recognition (Paperback)
A review of the background material needed for correlation pattern recognition for graduate students and practitioners. Correlation is a robust and general
technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. 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 material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner. Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. 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 material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.
Black and white diamond optical illusion pattern Scarf
Full print is visible on the front and reverse Microfiber polyester with a slightly transparent effect Hand wash only. Do not dry clean or tumble dry.
The Springer International Engineering and Computer Science: Optical Character Recognition : An Illustrated Guide to the Frontier (Series #502) (Paperback)
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 current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today’s systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry. • Author: Stephen V Rice,George Nagy,Thomas A Nartker • ISBN:9781461372813 • Format:Paperback • Publication Date:2013-01-27
