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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. 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

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

  2. 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

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

  4. 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

  5. Adjacent features of a minutia is very important for matching.

  6. 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

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

  8. 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

  9. 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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