Reliable extraction of true minutiae in fingerprint image is critical to the performance of an automated fingerprint identification system (AFIS). In order to utilize AFIS in law enforcement agencies first step is to digitalize an archive of fingerprints obtained by ink method. For improving the quality of automatically extracted minutiae (both in number and type) enhancement is previously performed, but, nevertheless, quite a number of spurious minutiae (especially in blurry or regions containing scars and creases) are extracted. It is crucial for AFIS performance that number of extracted (and consequently saved in fingerprint template) spurious minutia is minimized to maximal extent. In order to do so, we propose directional Log-Gabor filtering in frequency domain. Results proved to be preferable for a wide range of input digitized fingerprint images
TY - JOUR
AU - Popović, Brankica
AU - Banđur, Miloš V.
AU - Raičević, Anđelija M.
PY - 2011
UR - http://jakov.kpu.edu.rs/handle/123456789/388
AB - Reliable extraction of true minutiae in fingerprint image is critical to the performance of an automated fingerprint identification system (AFIS). In order to utilize AFIS in law enforcement agencies first step is to digitalize an archive of fingerprints obtained by ink method. For improving the quality of automatically extracted minutiae (both in number and type) enhancement is previously performed, but, nevertheless, quite a number of spurious minutiae (especially in blurry or regions containing scars and creases) are extracted. It is crucial for AFIS performance that number of extracted (and consequently saved in fingerprint template) spurious minutia is minimized to maximal extent. In order to do so, we propose directional Log-Gabor filtering in frequency domain. Results proved to be preferable for a wide range of input digitized fingerprint images
PB - Kaunas Univ Technology, Kaunas
T2 - Elektronika ir elektrotechnika
T1 - Robust Fingerprint Enhancement by Directional Filtering in Fourier Domain
IS - 1
SP - 37
EP - 40
ER -
@article{
author = "Popović, Brankica and Banđur, Miloš V. and Raičević, Anđelija M.",
year = "2011",
url = "http://jakov.kpu.edu.rs/handle/123456789/388",
abstract = "Reliable extraction of true minutiae in fingerprint image is critical to the performance of an automated fingerprint identification system (AFIS). In order to utilize AFIS in law enforcement agencies first step is to digitalize an archive of fingerprints obtained by ink method. For improving the quality of automatically extracted minutiae (both in number and type) enhancement is previously performed, but, nevertheless, quite a number of spurious minutiae (especially in blurry or regions containing scars and creases) are extracted. It is crucial for AFIS performance that number of extracted (and consequently saved in fingerprint template) spurious minutia is minimized to maximal extent. In order to do so, we propose directional Log-Gabor filtering in frequency domain. Results proved to be preferable for a wide range of input digitized fingerprint images",
publisher = "Kaunas Univ Technology, Kaunas",
journal = "Elektronika ir elektrotechnika",
title = "Robust Fingerprint Enhancement by Directional Filtering in Fourier Domain",
number = "1",
pages = "37-40"
}
Popović, B., Banđur, M. V.,& Raičević, A. M. (2011). Robust Fingerprint Enhancement by Directional Filtering in Fourier Domain.
Elektronika ir elektrotechnika
Kaunas Univ Technology, Kaunas.(1), 37-40.
Popović B, Banđur MV, Raičević AM. Robust Fingerprint Enhancement by Directional Filtering in Fourier Domain. Elektronika ir elektrotechnika. 2011;(1):37-40
Popović Brankica, Banđur Miloš V., Raičević Anđelija M., "Robust Fingerprint Enhancement by Directional Filtering in Fourier Domain" Elektronika ir elektrotechnika, no. 1 (2011):37-40
