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Fingerprint identification by using artificial neural network with optical wavelet preprocessing

Antowiak M., Chałasińska-Macukow K.

Opto-Electronics Review

2003

Vol. 11, No. 4

327-337

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.