Computer Vision, Graphics, and Image Processing
Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
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
A Gradient Based Weighted Averaging Method for Estimation of Fingerprint Orientation Fields
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
Constrained nonlinear models of fingerprint orientations with prediction
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technical Communication: A fast fingerprint image enhancement algorithm using a parabolic mask
Computers and Electrical Engineering
A gradient-based combined method for the computation of fingerprints' orientation field
Image and Vision Computing
IEEE Transactions on Image Processing
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Orientation field which describes the local direction of ridge-valley pattern, play a very important role in automatic fingerprint recognition. In this paper, a systematic gradient-based method for the computation of fingerprint's orientation field is proposed. This method mainly includes two procedures: the coarse level orientation computing, and the orientation predicting. In the first procedure, the effective point gradient vector and the composite block are proposed for overcoming the limitation caused by normalization, and the contradiction between accuracy and robustness respectively; in the second procedure, an iteration based predicting method is adopted for improving the robustness against noise. All experiments show that: compared with the previously proposed gradient-based approaches, our method does not only possess the advantage of high accuracy, but also be more robust against noise and be capable of predicting.