Geometric Distortion Correction of Images Received From Biometric Fingerprint Devices

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 correc...

Full description

Saved in:
Bibliographic Details
Published in:Journal of mathematical sciences (New York, N.Y.) N.Y.), 2023, Vol.269 (3), p.317-321
Main Authors: Grizhebovskaya, A. G., Mikhalev, A. V., Dmitrieva, L. P.
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Biometric recognition systems
Biometrics
Biometry
Fingerprint verification
Fingers
Image quality
Interpolation
Mathematical models
Mathematics
Mathematics and Statistics
Polynomials
Scanning devices
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1072-3374
1573-8795
DOI:10.1007/s10958-023-06283-7