Geodesic
Geometric distortion correction of images received from biometric fingerprint devices
Fundamentalʹnaâ i prikladnaâ matematika, Tome 23 (2020) no. 3, pp. 75-81 
A. G. Grizhebovskaya; A. V. Mikhalev; L. P. Dmitrieva. Geometric distortion correction of images received from biometric fingerprint devices. Fundamentalʹnaâ i prikladnaâ matematika, Tome 23 (2020) no. 3, pp. 75-81. http://geodesic.mathdoc.fr/item/FPM_2020_23_3_a5/
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     author = {A. G. Grizhebovskaya and A. V. Mikhalev and L. P. Dmitrieva},
     title = {Geometric distortion correction of images received from biometric fingerprint devices},
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     pages = {75--81},
     year = {2020},
     volume = {23},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FPM_2020_23_3_a5/}
}
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Voir la notice de l'article provenant de la source Math-Net.Ru

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.

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