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Fingerprint verification

Speaker: Shu-Fen Chiou (邱淑芬 )

Date:2005/06/03

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Fast Fingerprint Verification Using Subregions of Fingerprint Images IEEE transactions on circuits and systems for

video technology, vol. 14, no.1, 2004, pp.95-101

K.C. Chan, Y.S. Moon, and P.S. Cheng

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Acceleration problem from a different perspective—using a smaller fingerprint images region to extract the minutiae.

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Fingerprint minutiae matching using the adjacent feature vector Pattern Recognition Letters, vol.26, 2005, pp.

1337-1345 Xifeng Tong, Janhua Huang, Xianglong Tang,

and Daming Shi

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Adjacent features of a minutia is very important for matching.

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Fingerprint Matching Using anOrientation-Based Minutia Descriptor IEEE TRANSACTIONS ON PATTERN ANAL

YSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 8, AUGUST 2003

Marius Tico, Member, IEEE, and Pauli Kuosmanen, Member, IEEE

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A novel fingerprint representation scheme that relies on describing the orientation field of the fingerprint pattern with respect to each minutia detail.

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Biohashing: two factor authentication featuring fingerprint data andtokenised random number Pattern Recognition, vol. 37, 2004, pp.2245 –

2255 Andrew Teoh Beng Jina, David Ngo Chek Lin

ga and Alwyn Gohb

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The discretisation is carried out by iterated inner product between the pseudo-random number and the wavelet Fourier–Mellin transform (FMT)(傅利葉 -梅林變換式 ) fingerprint feature.

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