Fingerprint verification
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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

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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


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


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


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


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


  • 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 andtokenised random number

  • Pattern Recognition, vol. 37, 2004, pp.2245 – 2255

  • Andrew Teoh Beng Jina, David Ngo Chek Linga and Alwyn Gohb


  • 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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