A nonlinear orientation model for global description of fingerprints

A nonlinear orientation model for the representation of the orientation matrix of a fingerprint image is presented. A general procedure to obtain the set of parameters describing this model is shown. Particularly, a piecewise linear orientation function is analysed. The model, compared with a previous zero-pole model, shows substantial decrease in the orientation error. The application of this model for efficient identity verification based on the ridge orientation is explored.

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