:Chapter13 Ch13 FingerPrint Recognition:

-VeriFinger

500dpi

?

(i,j)G2w2w(w=8)(i,j)

(Consistency LevelCL)(i,j)

CLCLCL

339

-256101()0()

-1616T(168)816

-

-1

()1() 0 11

3050(be)

[Wah98]R ( R = 50)

90%

-Verifinger

[Emi97] I. Emiroglu, and M.B. Akhan, Pre-processing of Fingerprint Images, EuropeanConference on Security and Detection, 147-151, 1997. [FBI84] Federal Bureau of Investigation, The Science of Fingerprints: Classification and Uses,U.S. Government Printing Office, Washington, D. C., 1984. [Hon98] L. Hong, Y. Wan, and A.K. Jain, Fingerprint Image Enhancement: Algorithm andPerformance Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20,No. 8, 777-789, 1998. [Jai97] A.K. Jain, L. Hong, S. Pankanti, and R. Bolle, An Identification-Authentication SystemUsing Fingerprints, Proceedings of the IEEE, Vol. 85, No. 9, 1365-1388, 1997. [Mai97] D. Maio and D. Maltoni, Direct Gray-Scale Minutiae Detection In Fingerpints, IEEETransactions on Pattern Aanlysis and Matching Intelligence, Vol. 19, No.1, 27-40, 1997. [Nac84] N.J. Naccache and R. Shinghal, An Investigation Into the Skeketonization Approach ofHilditch, Pattern Recognition Soeiety, 279-284, 1984. [Rao90] A.R. Rao, A Taxonomy for Texture Description and Identification, New York: Springer-Verlag, 1990. [Rat95] N.K. Ratha, S. Chen, and A.K. Jain, Adaptive Flow Orientation-Based Feature Extractionin Fingerprint Images, Pattern Recognition, Vol. 28, No. 11, 1657-1672, 1995. [Wah98] A. Wahab, S.H. Chin, and E.C. Tan, Novel Approach to Automated FingerprintRecognition, IEE Proceedings-Vision, Image, and Signal Processing, Vol.1453, No. 3, 160-166,1998. [Wil01] A.J. Willis and L. Myers, A Cost-Effective Fingerprint Recognition System for Use withLow-Quality Prints and Damaged Fingerprints, Pattern Recognition, Vol. 34, 255-270, 2001. [Xia91] Q. Xiao and H. Raafatm, Fingerprint Image Postprocessing: A Combined Statistical andStructural Approach, Pattern Recognition, Vol. 24, No.10, 985-992, 1991.

10~40

(i,j)G(i,j)

CL

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