Fingerprint pattern classification
Pattern Recognition
Computer Vision, Graphics, and Image Processing
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing oriented texture fields
CVGIP: Graphical Models and Image Processing
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2000: Fingerprint Verification Competition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Performance Evaluation of Fingerprint Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Constrained nonlinear models of fingerprint orientations with prediction
Pattern Recognition
Extracting image orientation feature by using integration operator
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Methods in Imaging
Variational Methods in Imaging
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
A Variational Formulation for Fingerprint Orientation Modeling
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
A model-based method for the computation of fingerprints' orientation field
IEEE Transactions on Image Processing
Markov random field models for directional field and singularity extraction in fingerprint images
IEEE Transactions on Image Processing
Local Features for Enhancement and Minutiae Extraction in Fingerprints
IEEE Transactions on Image Processing
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Orientation pattern is an important feature for characterizing fingerprint and plays critical roles in fingerprint recognition and fingerprint classification. This paper proposes a framework for modeling the fingerprint orientation field based on the variational principle, where the orientation pattern can be estimated through solving the associated Euler-Lagrange equation. Compared with existing methods, our proposed method has the following features. Firstly, it does not require any prior information about the structure of the acquired fingerprint, such as location of singular point(s). Secondly, it explicitly provides freedom for modeling the singularity in the orientation field. Thirdly, it has less number of parameters. Comparison has been made with respect to state-of-the-arts in fingerprint orientation modeling in terms of modeling accuracy, fingerprint enhancement and singular point detection. Advantages of the proposed method are demonstrated.