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Proceedings Paper

New wavelet basis kernel filters (WBKF) based image recognition
Author(s): Nickolay N. Evtikhiev; Peter A. Ivanov; Alexey S. Lyapin; Serge A. Sirotkin; Alexey V. Shevchuk; Rostislav S. Starikov; Alexander V. Zaharchev
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Paper Abstract

One of the main problems of optical data processing is the problem of image recognition. There were given much attention to optoelectronic methods of recognition of distorted images nowadays. There are a number of different approaches for the solution of such problem. One of the most popular approaches is using of optical correlators for this field. The main problem of this approach is to select an object to provide a correlation of input image with it. One of the widespread methods is to use an effective object-an invariant correlation filter. The paper presents the results of investigations on image recognition with the help of Wavelet Basis Kernel Filters (WBKF). Both results of the theory and computer simulations are presented. Also computer simulations hold a comparison of image recognition results with the help of other different approaches (GMACE, SDF and so on). The obtained results seem to be better for WBKF recognition in some cases. There are presented authors suggestions about using of WBKF filters for different distortion invariant image recognition problems and results of image recognition in presence of white noise.

Paper Details

Date Published: 6 August 2003
PDF: 11 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.486906
Show Author Affiliations
Nickolay N. Evtikhiev, Moscow Engineering Physics Institute (Russia)
Peter A. Ivanov, Moscow Engineering Physics Institute (Russia)
Alexey S. Lyapin, Moscow Engineering Physics Institute (Russia)
Serge A. Sirotkin, Moscow Engineering Physics Institute (Russia)
Alexey V. Shevchuk, Moscow Engineering Physics Institute (Russia)
Rostislav S. Starikov, Moscow Engineering Physics Institute (Russia)
Alexander V. Zaharchev, Moscow Engineering Physics Institute (Russia)


Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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