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Gradient based fingerprint orientation field estimation

Wieclaw L.

Journal of Medical Informatics & Technologies

2013

Vol. 22

203--207

Accurate estimation of ridge orientation is a critical step in image preprocessing methods used in automatic fingerprint identification systems (AFIS). Fingerprint orientation plays important roles in fingerprint enhancement, classification and recognition. The most popular is gradient-based method. This paper reviews the algorithm parameters, determining the compromise between accuracy in high-curvature areas and robustness against noise.

A review on fingerprint orientation estimation methods

Więcław Ł.

Journal of Medical Informatics & Technologies

2012

Vol. 21

95--102

As a global feature of fingerprint, orientation field plays important roles in most of image preprocessing methodsused in automatic fingerprint identification system (AFIS). Many algorithms have been proposed for orientation field estimation. This paper reviews the advantages and disadvantages of existing fingerprint orientation estimation methods. Issues on possible directions of further development have been presented.

The pixel alignment based algorithm for continuous orientation field estimation

Więcław Ł., Porwik P.

Journal of Medical Informatics & Technologies

2010

Vol. 15

47--52

This paper presents a new estimation method of fingerprint orientation field. An accurate estimation of fingerprint orientation fields is an essential step in automatic fingerprint recognition systems (AFIS). Most popular, gradient-based method is very sensitive to noise (image quality). Proposed algorithm is a modification of, more resistant to noise, mask-based method, which provides orientation limited to discrete values. This modification is based on aggregation of pixel values differentiation and was used to more precise estimation of magnitude of orientation vectors. This approach allows to obtain a continuous values of orientation field still maintaining robust to noise.