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Fingerprint verification. Speaker: Shu-Fen Chiou ( 邱淑芬 ) Date:2005/06/03. 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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fingerprint verification

Fingerprint verification

Speaker: Shu-Fen Chiou (邱淑芬)

Date:2005/06/03

fast fingerprint verification using subregions of fingerprint images
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
slide3
Acceleration problem from a different perspective—using a smaller fingerprint images region to extract the minutiae.
fingerprint minutiae matching using the adjacent feature vector
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
fingerprint matching using an orientation based minutia descriptor
Fingerprint Matching Using anOrientation-Based Minutia Descriptor
  • IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 8, AUGUST 2003
  • Marius Tico, Member, IEEE, and Pauli Kuosmanen, Member, IEEE
slide13
A novel fingerprint representation scheme that relies on describing the orientation field of the fingerprint pattern with respect to each minutia detail.
biohashing two factor authentication featuring fingerprint data and tokenised random number
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 Linga and Alwyn Gohb
slide17
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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