Título:
Fingerprint Orientation Field Estimation using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering)..
Fingerprint Orientation Field Estimation using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering)..
Autores:
Ameller Flores, Marco A.; González Arrieta, Angélica
Libro:
Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing. Volumen 474, pp. 265-273.
Fecha de Publicación:
1 June 2016
ISSN:
2194-5357
ISBN:
978-3-319-40161-4 (Print), 978-3-319-40162-1 (Online)
The goal of this paper is to offer a joined approach in fingerprint orientation field estimation, integrating some of the most known techniques like ridge orientation estimation and image filtering, both tested using images from local and public databases. We propose a reliable orientation estimation algorithm [6] and anisotropic image filtering in this paper. To show the applied theory experimental results, we use Matlab for our implementation of the above algorithms. The investigation results showed robustness improving the correct estimation of the fingerprint ridge orientation process.