INVARIANT RECOGNITION OF FINGERPRINTS USING KEY POINTS ALGORITHM
Kursk State Technical University, Department Computational Sciences; Student
A. P. Tipikin
Kursk State Technical University, Department Computational Sciences; Professor
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Abstract. Speed of invariant to rotating, moving and fragmentation fingerprint identification increasing method is written. Reliable of identification on low quality digitalized fingerprint images are increased.
Keywords:
fingerprint identification, invariant, digitalization, centering.
