A Gradient Based Weighted Averaging Method for Estimation of Fingerprint Orientation Fields

Authors:
Yi Wang;Jiankun Hu;Heiko Schroder
Affiliations:
Royal Melbourne Institute of Technology;Royal Melbourne Institute of Technology;Royal Melbourne Institute of Technology
Venue:
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
Year:
2005

Citing 0
Cited 3

A gradient-based combined method for the computation of fingerprints' orientation field

Image and Vision Computing
Superresolution reconstruction using nonlinear gradient-based regularization

Multidimensional Systems and Signal Processing
A systematic gradient-based method for the computation of fingerprint's orientation field

Computers and Electrical Engineering

Quantified Score

Hi-index	0.01

Visualization

Abstract

Estimation of orientation fields is an essential module in a fingerprint recognition system. Conventional gradient based approaches are popular but very sensitive to noise. In this paper, we propose a new implementation that is more resistant to noise. Our basic idea is to conduct redundant estimation over four overlapping neighborhoods for each target block. Following this idea, we devise a weighted averaging scheme operated on the base blocks directly. Thus, each block (including the target one) in the overlapping neighborhoods has different impact on estimation of the dominant orientation fields. Our preliminary experiment results suggest that the proposed weighted averaging algorithm is more robust against noise in comparison with other gradient based methods.