Pattern recognition with fast feature extraction

Mykola G. Nakhodkin; Yurij S. Musatenko; Vitalij N. Kurashov

doi:10.1117/12.304963

1 April 1998 Pattern recognition with fast feature extraction

Mykola G. Nakhodkin, Yurij S. Musatenko, Vitalij N. Kurashov

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304963
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

The comparison of recently suggested algorithms of fast approximate Karhunen-Loeve (KL) transform when applied to pattern recognition problem is presented. It is known that adequate signs selection is still the problem. In the paper we consider several algorithms that can perform fast and qualitative signs selection. Among them are wavelet based algorithm of approximate KL transform, 2D algorithm of KL transform, algorithm with projection into proper orthogonalized basis, and real time algorithm of KL transform. To compare quality of the algorithms they are applied to human faces recognition problem. The efficiency of the all abovementioned algorithms is demonstrated.

Citation Download Citation

Mykola G. Nakhodkin, Yurij S. Musatenko, and Vitalij N. Kurashov "Pattern recognition with fast feature extraction", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304963

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