Fingerprint Orientation Refinement through Iterative Smoothing

Autor: Maponi, Pierluigi, Piergallini, Riccardo, Santarelli, Filippo
Rok vydání: 2017
Předmět:
Zdroj: Signal & Image Processing: An International Journal, 8(5), 29-43, 2017
Druh dokumentu: Working Paper
DOI: 10.5121/sipij.2017.8503
Popis: 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.
Databáze: arXiv