Fingerprint Ridge Distance Estimation: A Mathematical Modeling | Zendy

Shing Chyi | Zendy; Eng Kiong | Zendy; Alan Wee | Zendy

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Fingerprint Ridge Distance Estimation: A Mathematical Modeling

Author(s) -

Shing Chyi,

Eng Kiong,

Alan Wee

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2015906308

Subject(s) - computer science , fingerprint (computing) , ridge , estimation , artificial intelligence , data mining , geology , paleontology , systems engineering , engineering

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.

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