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Fingerprint Ridge Distance Estimation: A Mathematical Modeling
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 15 |
| Year of Publication: 2015 |
| Authors: Shing Chyi Chua, Eng Kiong Wong, Alan Wee Chiat Tan |
10.5120/ijca2015906308
|
Shing Chyi Chua, Eng Kiong Wong, Alan Wee Chiat Tan . Fingerprint Ridge Distance Estimation: A Mathematical Modeling. International Journal of Computer Applications. 126, 15 ( September 2015), 24-29. DOI=10.5120/ijca2015906308
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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