Fingerprint identification by using artificial neural network with optical wavelet preprocessing

• Autorzy: Antowiak M. , Chałasińska-Macukow K.
• Języki publikacji: EN

Abstrakty

EN

The advantages of optical wavelet transform used as a preprocessor for an artificial neural network are investigated. We show by digital simulation that this set-up can successfully identify and discriminate complex biometric images, such as fingerprints. The achieved capabilities include limited shift-, rotation-, scale- and intensity - invariance. We also show that the edges-enhancement filter, applied before the wavelet transform, significantly improves abilities of the system.

Słowa kluczowe

EN

optical fingerprint identification; biometrics; artificial neural network; optical wavelet transform

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2003
• Tom: Vol. 11, No. 4
• Strony: 327--337
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Antowiak M.

• Division of Information Optics, Institute of Geophysics, Faculty of Physics, Warsaw University, 7 Pasteura Str., 02-093 Warsaw, Poland

autor

Chałasińska-Macukow K.

• Division of Information Optics, Institute of Geophysics, Faculty of Physics, Warsaw University, 7 Pasteura Str., 02-093 Warsaw, Poland

Bibliografia

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