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The Detection of Internal Fingerprint Image Using Optical Coherence Tomography

Sekulska-Nalewajko J., Gocławski J., Sankowski D.

Image Processing & Communications

2017

Vol. 22, no. 4

59--72

Recently, optical coherence tomography (OCT) has been tested as a contactless technique helpful for damaged or spoofed fingerprint recovery. Three dimensional OCT images cover the range from the skin surface to papillary region in upper dermis. The proposed method extracts from B-scans high intensity ridges in both air-epidermis and dermis-epidermis interfaces. The extraction is based on the localisation of two OCT signal peaks corresponding to these edges. The borders are spline smoothed in two orthogonal planes of the image space. The result images are presented and compared with camera views.

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.