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Geometric Distortion Correction of Images Received From Biometric Fingerprint Devices

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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.

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Authors and Affiliations

  1. Lomonosov Moscow State University, Moscow, Russia

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

Authors
  1. A. G. Grizhebovskaya
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  2. A. V. Mikhalev
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  3. L. P. Dmitrieva
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Corresponding author

Correspondence to A. G. Grizhebovskaya.

Additional information

Translated from Fundamentalnaya i Prikladnaya Matematika, Vol. 23, No. 3, pp. 75–81, 2020.

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Grizhebovskaya, A.G., Mikhalev, A.V. & Dmitrieva, L.P. Geometric Distortion Correction of Images Received From Biometric Fingerprint Devices. J Math Sci 269, 317–321 (2023). https://doi.org/10.1007/s10958-023-06283-7

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  • DOI: https://doi.org/10.1007/s10958-023-06283-7

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