Treffer: Pattern discrimination of joint transform correlator based on wavelet subband filtering
Title:
Pattern discrimination of joint transform correlator based on wavelet subband filtering
Authors:
Source:
Optics communications. 233(4-6):283-296
Publisher Information:
Amsterdam: Elsevier Science, 2004.
Publication Year:
2004
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Optics, Optique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Domaines classiques de la physique (y compris les applications), Fundamental areas of phenomenology (including applications), Optique, Optics, Formation des images et traitement optique, Imaging and optical processing, Fonctions de transfert optique et de transfert de modulation, Modulation and optical transfer functions, Reconnaissance de forme, Pattern recognition, Eléments, dispositifs, et systèmes optiques, Optical elements, devices, and systems, Processeurs, corrélateurs et modulateurs optiques, Optical processors, correlators, and modulators, Corrélateur optique, Optical correlator, Correlador óptico, Corrélateur transformation associée, Joint transformation correlator, Correlador transformación asociada, Elément optique, Optical elements, Etude expérimentale, Experimental study, Etude théorique, Theoretical study, Extraction forme, Pattern extraction, Extracción forma, Filtre Gabor, Gabor filter, Filtro Gabor, Ondelette, Wavelets, Rapport signal bruit, Signal-to-noise ratio
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Communications Engineering, Feng Chia University, Taichung, Tawain, Province of China
Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Tawain, Province of China
Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Tawain, Province of China
ISSN:
0030-4018
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physics: optics
Accession Number:
edscal.15541193
Database:
PASCAL Archive
Weitere Informationen
We propose and demonstrate a Gabor wavelet prefiltering prior to classical and binarized joint transform correlator implementation to enhance texture features of fingerprints. The frequency- and orientation-selective properties of the wavelet subband filter are utilized to extract important textural features for optimal correlation recognition. A selection criterion for wavelet subbands is derived, and it is shown that the maximum signal-to-noise ratio of the correlator is achieved by optimizing the threshold level. Simulation results show that the proposed method increases the discrimination power of the correlator, especially under noisy environments.