The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.
TY - CONF
AU - Banđur, Miloš V.
AU - Popović, Brankica
AU - Raičević, Anđelija M.
AU - Ranđelović, Dragan
PY - 2013
UR - http://jakov.kpu.edu.rs/handle/123456789/516
AB - The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.
PB - IEEE, New York
C3 - 2013 21st telecommunications forum (TELFOR)
T1 - Improving minutiae extraction in fingerprint images through robust enhancement
SP - 506
DO - 10.1109/TELFOR.2013.6716277
ER -
@conference{
author = "Banđur, Miloš V. and Popović, Brankica and Raičević, Anđelija M. and Ranđelović, Dragan",
year = "2013",
url = "http://jakov.kpu.edu.rs/handle/123456789/516",
abstract = "The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.",
publisher = "IEEE, New York",
journal = "2013 21st telecommunications forum (TELFOR)",
title = "Improving minutiae extraction in fingerprint images through robust enhancement",
pages = "506",
doi = "10.1109/TELFOR.2013.6716277"
}
Banđur, M. V., Popović, B., Raičević, A. M.,& Ranđelović, D. (2013). Improving minutiae extraction in fingerprint images through robust enhancement.
2013 21st telecommunications forum (TELFOR)
IEEE, New York., 506.
https://doi.org/10.1109/TELFOR.2013.6716277
Banđur MV, Popović B, Raičević AM, Ranđelović D. Improving minutiae extraction in fingerprint images through robust enhancement. 2013 21st telecommunications forum (TELFOR). 2013;:506
Banđur Miloš V., Popović Brankica, Raičević Anđelija M., Ranđelović Dragan, "Improving minutiae extraction in fingerprint images through robust enhancement" 2013 21st telecommunications forum (TELFOR) (2013):506,
https://doi.org/10.1109/TELFOR.2013.6716277 .
