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Fingerprint minutiae filtering based on multiscale directional information

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2007
160.pdf (512.2Kb)
Authors
Popović, Brankica
Mašković, Ljiljana
Article (Published version)
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Abstract
Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use 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 (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.
Keywords:
biometrics / fingerprint image filtering / minutiae detection / orientation field / post processing
Source:
Facta universitatis - series: Electronics and Energetics, 2007, 20, 2, 233-244
Publisher:
  • Univerzitet u Nišu

DOI: 10.2298/FUEE0702233P

ISSN: 0353-3670

[ Google Scholar ]
URI
http://jakov.kpu.edu.rs/handle/123456789/162
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
Jakov
TY  - JOUR
AU  - Popović, Brankica
AU  - Mašković, Ljiljana
PY  - 2007
UR  - http://jakov.kpu.edu.rs/handle/123456789/162
AB  - Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use 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 (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.
PB  - Univerzitet u Nišu
T2  - Facta universitatis - series: Electronics and Energetics
T1  - Fingerprint minutiae filtering based on multiscale directional information
VL  - 20
IS  - 2
SP  - 233
EP  - 244
DO  - 10.2298/FUEE0702233P
UR  - conv_780
ER  - 
@article{
author = "Popović, Brankica and Mašković, Ljiljana",
year = "2007",
abstract = "Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use 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 (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.",
publisher = "Univerzitet u Nišu",
journal = "Facta universitatis - series: Electronics and Energetics",
title = "Fingerprint minutiae filtering based on multiscale directional information",
volume = "20",
number = "2",
pages = "233-244",
doi = "10.2298/FUEE0702233P",
url = "conv_780"
}
Popović, B.,& Mašković, L.. (2007). Fingerprint minutiae filtering based on multiscale directional information. in Facta universitatis - series: Electronics and Energetics
Univerzitet u Nišu., 20(2), 233-244.
https://doi.org/10.2298/FUEE0702233P
conv_780
Popović B, Mašković L. Fingerprint minutiae filtering based on multiscale directional information. in Facta universitatis - series: Electronics and Energetics. 2007;20(2):233-244.
doi:10.2298/FUEE0702233P
conv_780 .
Popović, Brankica, Mašković, Ljiljana, "Fingerprint minutiae filtering based on multiscale directional information" in Facta universitatis - series: Electronics and Energetics, 20, no. 2 (2007):233-244,
https://doi.org/10.2298/FUEE0702233P .,
conv_780 .

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