Extensive research of automatic fingerprint identification system (AFIS), although started in the early 1960s, has not yet give the answer to reliable fingerprint recognition problem. A critical step for AFIS accuracy is reliable extraction of features (mostly minutiae) from the input fingerprint image. However, the effectiveness of a feature extraction relies heavily on the quality of the input fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition system to make the system robust with respect to the quality of input fingerprint images. In this paper we propose an adaptive filtering in frequency domain in order to enhance fingerprint image. Two different directional filters are proposed and results are compared.
TY - JOUR
AU - Raičević, Anđelija M.
AU - Popović, Brankica
PY - 2009
UR - http://jakov.kpu.edu.rs/handle/123456789/273
AB - Extensive research of automatic fingerprint identification system (AFIS), although started in the early 1960s, has not yet give the answer to reliable fingerprint recognition problem. A critical step for AFIS accuracy is reliable extraction of features (mostly minutiae) from the input fingerprint image. However, the effectiveness of a feature extraction relies heavily on the quality of the input fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition system to make the system robust with respect to the quality of input fingerprint images. In this paper we propose an adaptive filtering in frequency domain in order to enhance fingerprint image. Two different directional filters are proposed and results are compared.
PB - Univerzitet u Nišu
T2 - Facta universitatis - series: Electronics and Energetics
T1 - An effective and robust fingerprint enhancement by adaptive filtering in frequency domain
VL - 22
IS - 1
SP - 91
EP - 104
DO - 10.2298/FUEE0901091R
UR - conv_781
ER -
@article{
author = "Raičević, Anđelija M. and Popović, Brankica",
year = "2009",
abstract = "Extensive research of automatic fingerprint identification system (AFIS), although started in the early 1960s, has not yet give the answer to reliable fingerprint recognition problem. A critical step for AFIS accuracy is reliable extraction of features (mostly minutiae) from the input fingerprint image. However, the effectiveness of a feature extraction relies heavily on the quality of the input fingerprint images. This leads to the incorporation of a fingerprint enhancement module in fingerprint recognition system to make the system robust with respect to the quality of input fingerprint images. In this paper we propose an adaptive filtering in frequency domain in order to enhance fingerprint image. Two different directional filters are proposed and results are compared.",
publisher = "Univerzitet u Nišu",
journal = "Facta universitatis - series: Electronics and Energetics",
title = "An effective and robust fingerprint enhancement by adaptive filtering in frequency domain",
volume = "22",
number = "1",
pages = "91-104",
doi = "10.2298/FUEE0901091R",
url = "conv_781"
}
Raičević, A. M.,& Popović, B.. (2009). An effective and robust fingerprint enhancement by adaptive filtering in frequency domain. in Facta universitatis - series: Electronics and Energetics
Univerzitet u Nišu., 22(1), 91-104.
https://doi.org/10.2298/FUEE0901091R
conv_781
Raičević AM, Popović B. An effective and robust fingerprint enhancement by adaptive filtering in frequency domain. in Facta universitatis - series: Electronics and Energetics. 2009;22(1):91-104.
doi:10.2298/FUEE0901091R
conv_781 .
Raičević, Anđelija M., Popović, Brankica, "An effective and robust fingerprint enhancement by adaptive filtering in frequency domain" in Facta universitatis - series: Electronics and Energetics, 22, no. 1 (2009):91-104,
https://doi.org/10.2298/FUEE0901091R .,
conv_781 .
