Neural network designed volume holographic wavelet correlator for pattern recognition

Author

Feng, Wenyi ; Yan, Yingbai ; Jin, Guofan ; Wu, Minxian ; He, Qingsheng

Author_Institution

State Key Lab. of Precision Meas. Technol. & Instrum., Tsinghua Univ., Beijing, China

Volume

5

fYear

1999

fDate

1999

Firstpage

3251

Abstract

Neural network (NN) techniques have been introduced to design wavelet filters and wavelet transform systems for pattern recognition. Based on the theory of wavelet matched filtering and the associative characteristic of volume holographic storage in a photo refractive crystal, a novel volume holographic wavelet correlator is constructed. A neural network is proposed to optimize parameters of the wavelet filters to improve recognition performance of the system. Simulation and experimental results are given to testify the effect of optimization. Its application in human face recognition is studied. Use of the neural network to refine parameters of filters is attractive

Keywords

face recognition; filtering theory; holography; neural nets; optical correlation; optimisation; wavelet transforms; human face recognition; neural network; optimization; pattern recognition; volume holographic storage; volume holographic wavelet correlator; wavelet filters; Correlators; Face recognition; Filtering theory; Holography; Humans; Matched filters; Neural networks; Pattern recognition; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.836177

Filename

836177