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Correlation method for pattern recognition

A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into...

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Bibliographic Details
Main Authors: Yezhov, P.V., Kuzmenko, A.V., Komarov, V.A.
Format: Article
Language:English
Published: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2002
Series:Semiconductor Physics Quantum Electronics & Optoelectronics
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/121354
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Summary:A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into a computer by ordinary methods. This principle allows to solve the unification of the correlation functions and recognition attributes selection problem using a unified, identified object's class-independent method. Presented experimental results confirm applicability of this approach.