4 edition of Optical and digital pattern recognition found in the catalog.
by SPIE--the International Society for Optical Engineering in Bellingham, Wash., USA
Written in English
Includes bibliographies and index.
|Statement||Hua-Kuang Liu, Paul S. Schenker, chairs/editors ; sponsored by SPIE--the International Society for Optical Engineering ; cooperating organizations, Computer Society of the IEEE, Pattern Recognition Society.|
|Series||Proceedings of SPIE--the International Society for Optical Engineering ;, v. 754|
|Contributions||Liu, Hua-Kuang., Schenker, Paul S., Society of Photo-optical Instrumentation Engineers., IEEE Computer Society., Pattern Recognition Society.|
|LC Classifications||TA1650 .O66 1987|
|The Physical Object|
|Pagination||vi, 340 p. :|
|Number of Pages||340|
|LC Control Number||87060339|
图书Optical and Digital Pattern Recognition (Proceedings of Spie--the International Society for Optical Engineering, Vol ) 介绍、书评、论坛及推荐. 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.
Optical processing over the past 10 years has made significant advances in implementing a great number of digital pattern recognition algorithms. Especially important are optical implementations of digital algorithms that involve global operations on 2-D patterns. Such applications of optical processing will significantly speed up the response time of the pattern recognition systems while. Pattern Recognition Using Neural Networks, Carl G. Looney Fifty True Mysteries of the Sea, John Canning Acousto-Optic Signal Processing - Theory and Implementation, Second Edition, Berg.
To the digital age The ﬁrst prominent piece of OCR software was invented by Ray Kurzweil in as the software allowed for recog-nition for any font . This software used a more developed use of the matrix method (pattern matching). Essentially, this would compare bitmaps of the template character with. Both methods employ ANN for pattern recognition in conjunction with features extraction approaches and digital signal processing. In the first method, asynchronous amplitude sampling is the features extraction method. For high-speed optical communications, new approach using ANN trained by the features of linear optical sampling is implemented.
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Book Description. This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing approaches based on neural networks, wavelet transforms, and the fractional Fourier transform are discussed, as are optical-electronic hybrid systems.4/5(1).
This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing approaches based on neural networks, wavelet transforms, and the fractional Fourier transform are discussed, as are optical-electronic hybrid by: Get this from a library.
Optical and digital pattern recognition: JanuaryLos Angeles, California. [Hua-Kuang Liu; Paul S Schenker; Society of Photo-optical Instrumentation Engineers.; IEEE Computer Society.; Pattern Recognition Society.;].
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 5/5(1). This study provides a basic understanding of the fundamentals of optical pattern recognition systems.
An emphasis on the capabilities and limitations of such systems is presented. His research interests include optical information processing, image encryption, watermarking, digital holography, interferometry, correlation based optical pattern recognition, and fractional Fourier transform-based signal processing.
He is a senior member of OSA, SPIE and life fellow of Optical. To recognize digital streams of digital data, all-optical and passive techniques able to discriminate optical bit words in real time are presented. Discrimination capability of different correlators, both in free space architectures and in delay lines structures, is theoretically and experimentally analyzed.
Experimental performances in word recognition are shown in the case of a volume. Integration of other pattern recognition data which supplements the OPS analysis leads to an increased pattern classification potential.
The optical/ digital system discussed integrates a photo diode array detector in the image domain with the OPS system. An optical-digital system for the pattern recognition of coal-workers' pneumoconiosis is described. The system consists of a coherent-optical configuration to generate the Fourier irradiance of the radiographic image and a digital computer to process the data.
The interface is a TV camera. Optical pattern recognition is one of the most powerful operations possible on a coherent or an incoherent optical system. Matching two images and learning the likelihood of two pattern-matched objects are one of the main roles in various schemes of pattern recognition operations .
In the application of optical pattern recognition. 19 Microcomputer-based programmable optical correlator for automatic pattern recognition and identification Francis T.S. Yu, Jacques E.
Ludman (Optics Letters ) 22 Adaptive real-time pattern recognition using a liquid crystal TV based joint transform correlator Francis T.S. Yu, Suganda Jutamulia, Tsongneng W. Lin, Don A. Gregory (Applied. 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 from 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 superimposed on an image (for example: from a.
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.
Optical pattern recognition of letters by a joint-transform correlator using a ferroelectric liquid-crystal spatial light modulator Tadao Iwaki, Yasuyuki Mitsuoka (Optics Letters ) Feature-extracted joint transform correlation Mohammad S.
Alam (Applied Optics ). POLYMERS that exhibit the photorefractive effect—a light-induced modulation of refractive index—are emerging as attractive materials for optical devices and processing systems1,2.
Here we. 24 May Incoherent multiplex optical correlator for pattern recognition El-Houssine Horache, Badr-Eddine Benkelfat, Qin Zou, Vincent Laude Author Affiliations +. Optical power spectral (OPS) analysis has demonstrated significant advantages for rapidly classifying simple patterns from aerial transparencies.
However, as the pattern sets become larger and more complicated, the required software is more complex, the equipment requirements more demanding, and the processing time increases.
Additionally, potential ambiguity of the OPS data due to loss of. Optical processing, such as pattern recognition and encryption, by digital holography also offers new capabilities [ 28 ]. Basic principles of diffraction and general holography are outlined in Sec.
2, and a general description of digital holographic microscopy (DHM) is given in Sec. 3, with an emphasis on the quantitative phase microscopy by DHM.
Optical scanning holography (OSH) is an emerging area of interest with many potential novel applications, such as 3-D pattern recognition, 3-D microscopy, 3-D cryptography, and 3-D optical remote sensing.
Optical Scanning Holography with MATLAB® introduces readers to. Optical Processing and Computing is a collection of research from the USA, Canada, Russia, and Poland on the developments in the fields of digital optical computing and analog optical processing. This book is organized into 15 chapters and begins with an overview of.
survey on handwritten character recognition methods. Figure 2. (a) Optical character (b) Handwritten character. Image processing and pattern recognition plays significant role in handwritten character recognition.
Rajbala et al , have discussed various types of classification of feature extraction.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.Best Sellers Rank: #16, in Books (See Top in Books) #35 inÂ Books > Computers & Technology > Software > Optical Character Recognition # inÂ Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern.