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Original Research
Online Published: 07 Apr 2020

Published online: 07 Apr 2020
 


Fingerprint Smoothing Using Different Interpolation Techniques

Abdullah Bajahzar.


Cited By:2

Abstract
Classical fingerprint analysts use binary images in the minutiae recognition and extraction processes. These obtained images do not have a sufficient quality that allows the extraction of the robust primitives, either during the contours detection or during skeletonization. In this study, a mathematical approach for the fingerprint curves modeling have been performed. The adopted smoothing technique is based on two geometric interpolation types adapted to fingerprint images. The obtained results reveal that the Bezier curve method has an error lower than that by the cubic spline method. The Bézier curve method has a RMS value of 0.035 pixels and an average maximum error of the order of 0.33 pixels. On the other hand, the cubic spline method has a RMS value about of 0.043 pixels and an average maximum error about of 0.37 pixels. We can see that the proposed method facilitates the design process of real-world objects and makes the fingerprint curves smooth.

Key words: Fingerprint image; Bézier curve method; Cubic spline method; Gabor filter; smooth curve.


 
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Pubmed Style

Abdullah Bajahzar. Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences. 2019; 6(2): 28-39. doi:10.5455/jeas.2019090103

Web Style

Abdullah Bajahzar. Fingerprint Smoothing Using Different Interpolation Techniques. https://jecasmu.org/?mno=97609 [Access: December 21, 2024]. doi:10.5455/jeas.2019090103

AMA (American Medical Association) Style

Abdullah Bajahzar. Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences. 2019; 6(2): 28-39. doi:10.5455/jeas.2019090103


Vancouver/ICMJE Style

Abdullah Bajahzar. Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences. (2019), [cited December 21, 2024]; 6(2): 28-39. doi:10.5455/jeas.2019090103


Harvard Style

Abdullah Bajahzar (2019) Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences, 6 (2), 28-39. doi:10.5455/jeas.2019090103


Turabian Style

Abdullah Bajahzar. 2019. Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences, 6 (2), 28-39. doi:10.5455/jeas.2019090103


Chicago Style

Abdullah Bajahzar. "Fingerprint Smoothing Using Different Interpolation Techniques." Journal of Engineering and Applied Sciences 6 (2019), 28-39. doi:10.5455/jeas.2019090103


MLA (The Modern Language Association) Style

Abdullah Bajahzar. "Fingerprint Smoothing Using Different Interpolation Techniques." Journal of Engineering and Applied Sciences 6.2 (2019), 28-39. Print. doi:10.5455/jeas.2019090103


APA (American Psychological Association) Style

Abdullah Bajahzar (2019) Fingerprint Smoothing Using Different Interpolation Techniques. Journal of Engineering and Applied Sciences, 6 (2), 28-39. doi:10.5455/jeas.2019090103


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  • ISSN: 1658-6638 (print)
  • ISSN: 1658-7073 (electronic)