Artificial Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space Derived From B-Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Piecewise Linear Skeletonization Using Principal Curves
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
Characterization of Dirac Edge with New Wavelet Transform
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterization of Dirac-structure edges with wavelet transform
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper presents a robust multiscale method to create thinned ridge map of fingerprint for automatic recognition by employing an elaborately designed wavelet function. Properties of the new wavelet function are substantially investigated. Some desirable characteristics of the local minimum produced by wavelet transform show that they are suitable to describe skeleton of ribbon-shape objects. A multiscale thinning algorithm based on the modulus minima of wavelet transform is proposed. The proposed algorithm is able to improve the skeleton representation of the ridge of fingerprint without side-effects and limitations of previous methods. Thinned ridge map helps to facilitate minutiae extraction for matching. Experiments validated effectiveness and efficiency of the proposed method.