Amongst available biometrics, personal identification based on fingerprints is still considered for one of the most reliable identification method. Most AFIS available today uses distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges. This can drastically reduce the recognition rate in automatic fingerprint identification systems. In this paper multiscale directional information obtained from orientation image is used to detect and filter those spurious minutiae, resulting in multiple decrease of their number.
TY - JOUR
AU - Popović, Brankica
AU - Mašković, Ljiljana
AU - Banđur, Miloš V.
PY - 2007
UR - http://jakov.kpu.edu.rs/handle/123456789/157
AB - Amongst available biometrics, personal identification based on fingerprints is still considered for one of the most reliable identification method. Most AFIS available today uses distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges. This can drastically reduce the recognition rate in automatic fingerprint identification systems. In this paper multiscale directional information obtained from orientation image is used to detect and filter those spurious minutiae, resulting in multiple decrease of their number.
PB - Kaunas Univ Technology, Kaunas
T2 - Elektronika ir elektrotechnika
T1 - Spurious fingerprint minutiae detection based on multiscale directional information
IS - 7
SP - 23
EP - 28
UR - conv_1060
ER -
@article{
author = "Popović, Brankica and Mašković, Ljiljana and Banđur, Miloš V.",
year = "2007",
abstract = "Amongst available biometrics, personal identification based on fingerprints is still considered for one of the most reliable identification method. Most AFIS available today uses distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges. This can drastically reduce the recognition rate in automatic fingerprint identification systems. In this paper multiscale directional information obtained from orientation image is used to detect and filter those spurious minutiae, resulting in multiple decrease of their number.",
publisher = "Kaunas Univ Technology, Kaunas",
journal = "Elektronika ir elektrotechnika",
title = "Spurious fingerprint minutiae detection based on multiscale directional information",
number = "7",
pages = "23-28",
url = "conv_1060"
}
Popović, B., Mašković, L.,& Banđur, M. V.. (2007). Spurious fingerprint minutiae detection based on multiscale directional information. in Elektronika ir elektrotechnika
Kaunas Univ Technology, Kaunas.(7), 23-28.
conv_1060
Popović B, Mašković L, Banđur MV. Spurious fingerprint minutiae detection based on multiscale directional information. in Elektronika ir elektrotechnika. 2007;(7):23-28.
conv_1060 .
Popović, Brankica, Mašković, Ljiljana, Banđur, Miloš V., "Spurious fingerprint minutiae detection based on multiscale directional information" in Elektronika ir elektrotechnika, no. 7 (2007):23-28,
conv_1060 .
