Transformation invariant algorithm for automatic fingerprint recognition


Presented may be a novel algorithm for fingerprint template formation and matching in automatic recognition. The algorithm does not depend on any core, singularity point or trivia orientations, on which most established algorithms are based for template formation. So, the algorithm has created the template structure invariant to global rotation and translation. The template structure relies on the local options of every minutia like distances to its nearest neighbours and their internal angle. Comparing this novel algorithm to benchmark algorithms has shown that the algorithm has maintained a high accuracy of error equal rate but 3.fivepercent along with vital reduction in the computation requirements.

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