Includes bibliographical references and author index.
|Statement||David P. Casasent, Tien-Hsin Chao, chairs/editors ; sponsored and published by SPIE--The International Society for Optical Engineering.|
|Series||Proceedings / SPIE--the International Society for Optical Engineering -- v. 3386., Proceedings of SPIE--the International Society for Optical Engineering -- v. 3386.|
|Contributions||Casasent, David Paul., Chao, Tien-Hsin., Society of Photo-optical Instrumentation Engineers.|
|The Physical Object|
|Pagination||vii, 402 p. :|
|Number of Pages||402|
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). Chapter 7 Pattern Recognition with Optics FRANCIS T. S. YU PENNSYLVANIA STATE UNIVERSITY The roots of optical pattern recognition can be traced back to Abbe's work* in the s, when he developed a method that led to the discovery of spatial filtering to improve the resolution of kauainenehcp.com by: 1. 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. Recognition and learning of patterns are sub jects of considerable depth and terest in to e cognitiv, hology ysc p pattern recognition, and computer vision. This hapter c es tak a practical h approac and describ es metho ds that e v ha had success in applications, ving lea some pters oin to the large theoretical literature in the references at.
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A channel transformation based on opponent-color theory of the color vision models is applied to optical pattern recognition so that the conventional red, green, and blue (RGB) channels are. 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. Dec 02, · Optical Signal Processing is a collection of synopses of the works of many experts in the different fields of optical signal processing. The book also includes systems or algorithms that have been successfully tried and used. The monograph is divided into seven kauainenehcp.com Edition: 1. What is Optical Character Recognition? Optical Character Recognition McGraw Hill Year Book, McGraw Hill, by T. Kanungo Degradation Models ; Nonlinear Local and Global Document Degradation Models Int. Journal of Imaging Systems and Technology Vol. 5, no. 4, John Wiley, pp. , Fall by T. Kanungo, R. M. Haralick, and I. Phillips.