ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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10
Issue
vol 60 / OCTOBER, 2017
Article
UDC 621.518.2

INVARIANT RECOGNITION OF FINGERPRINTS USING KEY POINTS ALGORITHM

A. V. Ognev
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.