Optical hardware implementation of the two-layer neural network with the preprocessing unit for invariant pattern recognition

Nickolay N. Evtikhiev; Boris N. Onyky; Dmitry V. Repin; Igor B. Scherbakov; Rostislav S. Starikov; Michael I. Zabulonov

doi:10.1117/12.235661

15 March 1996 Optical hardware implementation of the two-layer neural network with the preprocessing unit for invariant pattern recognition

Nickolay N. Evtikhiev, Boris N. Onyky, Dmitry V. Repin, Igor B. Scherbakov, Rostislav S. Starikov, Michael I. Zabulonov

Author Affiliations +

Proceedings Volume 2752, Optical Pattern Recognition VII; (1996) https://doi.org/10.1117/12.235661
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Optical pre-processing technique was combined with the two-layer neural network (TLNN), designed as multichannel acousto-optic modulator (MAOM) based optical vector-matrix multiplier (OVMM) by means of the PC interface. The system was applied to invariant recognition of planar objects. Pre-processing was presented by invariant moments based holographic feature extraction method. Optical hardware implementation (with the semiconductor laser and liquid crystal spatial light modulator) was investigated. Several other feature extraction methods (besides invariant moments) were applied and the possibility of the real-time implementation was considered.

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Nickolay N. Evtikhiev, Boris N. Onyky, Dmitry V. Repin, Igor B. Scherbakov, Rostislav S. Starikov, and Michael I. Zabulonov "Optical hardware implementation of the two-layer neural network with the preprocessing unit for invariant pattern recognition", Proc. SPIE 2752, Optical Pattern Recognition VII, (15 March 1996); https://doi.org/10.1117/12.235661

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