A model-based method for the computation of fingerprints' orientation field

As a global feature of fingerprints, the orientation field is very important for automatic fingerprint recognition. Many algorithms have been proposed for orientation field estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a model-based...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 13; H. 6; S. 821 - 835
Hauptverfasser:	Zhou, J., Gu, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Approximation Approximation algorithms Artificial Intelligence Automation Bifurcation Biometrics Cluster Analysis Computation Computer Graphics Computer Simulation Dermatoglyphics Exact sciences and technology Fingerprint recognition Fingerprints Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image matching Image processing Information Storage and Retrieval - methods Information, signal and communications theory Large-scale systems Mathematical analysis Mathematical models Models, Biological Models, Statistical Numerical Analysis, Computer-Assisted Orientation Pattern Recognition, Automated - methods Polynomials Reproducibility of Results Robustness Sensitivity and Specificity Signal processing Signal Processing, Computer-Assisted Studies Subtraction Technique Telecommunications and information theory global approximation Fingerprint Image recognition Approximation Singular point orientation field Orientation Automatic recognition Automatic fingerprint recognition combination model
ISSN:	1057-7149, 1941-0042
Online-Zugang:	Volltext
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