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Fundamentalnaya i Prikladnaya Matematika, 2020, Volume 23, Issue 3, Pages 75–81 (Mi fpm1899)  
Geometric distortion correction of images received from biometric fingerprint devices

A. G. Grizhebovskaya, A. V. Mikhalev, L. P. Dmitrieva

Lomonosov Moscow State University, Moscow, Russia
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Abstract: The quality of fingerprint images is very important for recognition and identification in biometric systems. Geometric distortions and different image scales may worsen fingerprint recognition. It is necessary to adjust distortions and scale in biometric finger capture systems. Algorithms for correcting distortions and scale are investigated, analyzed, and developed in this paper. A polynomial model of second order is used as a mathematical model of spatial distortions. To correct the brightness of image points, bicubic interpolation is used.
English version:
Journal of Mathematical Sciences (New York), 2023, Volume 269, Issue 3, Pages 317–321
DOI: https://doi.org/10.1007/s10958-023-06283-7
Document Type: Article
UDC: 004.932
Language: Russian
Citation: A. G. Grizhebovskaya, A. V. Mikhalev, L. P. Dmitrieva, “Geometric distortion correction of images received from biometric fingerprint devices”, Fundam. Prikl. Mat., 23:3 (2020), 75–81; J. Math. Sci., 269:3 (2023), 317–321
Citation in format AMSBIB
\Bibitem{GriMikDmi20}
\by A.~G.~Grizhebovskaya, A.~V.~Mikhalev, L.~P.~Dmitrieva
\paper Geometric distortion correction of images received from biometric fingerprint devices
\jour Fundam. Prikl. Mat.
\yr 2020
\vol 23
\issue 3
\pages 75--81
\mathnet{http://mi.mathnet.ru/fpm1899}
\transl
\jour J. Math. Sci.
\yr 2023
\vol 269
\issue 3
\pages 317--321
\crossref{https://doi.org/10.1007/s10958-023-06283-7}
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