Fingerprint Orientation Refinement through Iterative Smoothing
Computer Vision and Pattern Recognition
2017-11-10 v1
Abstract
We propose a new gradient-based method for the extraction of the orientation field associated to a fingerprint, and a regularisation procedure to improve the orientation field computed from noisy fingerprint images. The regularisation algorithm is based on three new integral operators, introduced and discussed in this paper. A pre-processing technique is also proposed to achieve better performances of the algorithm. The results of a numerical experiment are reported to give an evidence of the efficiency of the proposed algorithm.
Cite
@article{arxiv.1711.03214,
title = {Fingerprint Orientation Refinement through Iterative Smoothing},
author = {Pierluigi Maponi and Riccardo Piergallini and Filippo Santarelli},
journal= {arXiv preprint arXiv:1711.03214},
year = {2017}
}