Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct estimation and error analysis for oriented patterns
CVGIP: Image Understanding
Image models for 2-D flow visualization and compression
CVGIP: Graphical Models and Image Processing
Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical systems
Graphical Models and Image Processing
Fingerprint Classification by Directional Image Partitioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Definition and extraction of stable points from fingerprint images
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
A gradient-based combined method for the computation of fingerprints' orientation field
Image and Vision Computing
Active Fingerprint Ridge Orientation Models
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
Directional structures detection based on morphological line-segment and orientation functions
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Continuous force field analysis for generalized gradient vector flow field
Pattern Recognition
A variational formulation for fingerprint orientation modeling
Pattern Recognition
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A systematic gradient-based method for the computation of fingerprint's orientation field
Computers and Electrical Engineering
Stability analysis of constrained nonlinear phase portrait models of fingerprint orientation images
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fingerprint orientation field reconstruction by weighted discrete cosine transform
Information Sciences: an International Journal
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In this paper, we developed an algorithm to model the fingerprint orientation field. The algorithm comprises two steps, orientation prediction and model computation. Orientation prediction is based on piece-wise first-order phase portrait model. It is used to estimate the orientation in areas where there is no ridge information in the input image or the coherence of the orientation field is low. In the model computation, a constrained nonlinear phase portrait algorithm is proposed, which aims to get an accurate mathematical model of the fingerprint orientation field. Compared to the prior works, this algorithm is able to predict orientation even in noisy regions and it integrates the global and local orientation description into a unified mathematical form. Experiments conducted on the first 500 images of the NIST-4 database showed that the proposed algorithm is able to model all the fingerprint orientation patterns except those with very poor quality images where the orientation information cannot be clearly extracted.