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Fingerprint Ridge Distance Estimation: A Mathematical Modeling

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Shing Chyi Chua, Eng Kiong Wong, Alan Wee Chiat Tan
10.5120/ijca2015906308

Shing Chyi Chua, Eng Kiong Wong and Alan Wee Chiat Tan. Article: Fingerprint Ridge Distance Estimation: A Mathematical Modeling. International Journal of Computer Applications 126(15):24-29, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Shing Chyi Chua and Eng Kiong Wong and Alan Wee Chiat Tan},
	title = {Article: Fingerprint Ridge Distance Estimation: A Mathematical Modeling},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {126},
	number = {15},
	pages = {24-29},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In this paper, fingerprint image is mathematically modeled by using a 2D sinusoidal function in a local window of size 32x32. The estimated ridge distance is then found by using the Levenberg-Marquardt gradient descent method. From test images, it has been found that the error percentage is 5% or less for fingerprint images of good to moderate quality with ridge distances between five and 20 pixels corrupted with zero mean white Gaussian noise of variance levels between zero and 1.

References

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Keywords

Fingerprint ridge distance estimation