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REGENERATION OF FINGERPRINT INCOMPLETE REGION BY USING B-SPLINE INTERPOLATION CURVE MODEL
Keywords:
fingerprints, biometric systems, regeneration, B-spline curveDOI:
https://doi.org/10.17654/0972087125026Abstract
Incomplete images can reduce identification accuracy and hinder the performance of biometric recognition systems. This study proposes a method of using B-spline interpolation curve model to regenerate the incomplete fingerprint ridge regions. The image is first enhanced through a series of pre-processing steps to improve the clarity. The B-spline method is then employed to regenerate the missing ridge segments. This study aims to improve the reliability of fingerprint-based identity verification systems when dealing with degraded fingerprint images.
Received: May 15, 2025
Accepted: June 16, 2025
References
[1] H. A. Abdullah, Fingerprint identification system using neural networks, Al-Nahrain Journal for Engineering Sciences 15(2) (2012), 234-244.
https://doaj.org/article/542a50232d604ed0ad0d73aeb91cee0a.
[2] Z. S. Barham and A. Mousa, Fingerprint recognition using MATLAB, [Unpublished undergraduate project] 2011.
https://www.semanticscholar.org/paper/Fingerprint-Recognition-using-MATLAB-Graduation-Barham-Mousa/e1547beb6878bb9109874f90339648126f9b8b75 #citing-papers.
[3] N. Erwin, N. N. B. Karo, A. Y. Sari, N. Aziza and H. K. Putra, The enhancement of fingerprint images using Gabor filter, Journal of Physics Conference Series 1196 (2019), 012045. https://doi.org/10.1088/1742-6596/1196/1/012045.
[4] A. K. Jain, P. Flynn and A. A. Ross, Handbook of Biometrics, Springer, 2007.
https://doi.org/10.1007/978-0-387-71041-9.
[5] C. Kanan and G. W. Cottrell, Color-to-grayscale: Does the method matter in image recognition?, PLoS ONE 7(1) (2012), e29740.
https://doi.org/10.1371/journal.pone.0029740.
[6] M. Kaur, M. Singh, A. Girdhar and P. S. Sandhu, Fingerprint verification system using minutiae extraction technique, World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering 2(10) (2008), 3405-3410.
https://publications.waset.org/14355/pdf.
[7] D. Maltoni, D. Maio, A. Jain and S. Prabhakar, Applications of Fingerprint Systems, Handbook of Fingerprint Recognition, Springer, 2003, pp. 123-140.
https://doi.org/10.1007/b97303.
[8] D. F. Rogers, B-spline curves, An Introduction to Nurbs, Morgan Kaufmann Publishers, 2000, pp. 44-45.
https://openlibrary.org/books/OL15512775M/An_Introduction_to_Nurbs.
[9] Y. Tu, Z. Yao, J. Xu, Y. Liu and Z. Zhang, Fingerprint restoration using cubic Bézier curve, BMC Bioinformatics 21(S21) (2020), 1-9.
https://doi.org/10.1186/s12859-020-03857-z.
[10] P. Vani and R. Jagannathan, An innovative scheme for effectual fingerprint data compression using Bézier curve representations, International Journal of Computer Science and Information Security 6(1) (2009), 149-157.
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