@InProceedings{AndrezzaPrBoSiBaGo:2018:NoFiQu,
author = "Andrezza, Igor Lucena Peixoto and Primo, Jo{\~a}o Janduy
Brasileiro and Borges, Erick Vagner Cabral de Lima and Silva,
Arnaldo Gualberto de Andrade e and Batista, Leonardo Vidal and
Gomes, Herman Martins",
affiliation = "Vsoft and {Universidade Federal de Campina Grande} and Vsoft and
Vsoft and {Universidade Federal da Paraiba} and {Universidade
Federal de Campina Grande}",
title = "A Novel Fingerprint Quality Assessment Based on Gabor Filters",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Biometrics, Fingerprint, Quality, Gabor.",
abstract = "Fingerprints are the most widely deployed biometric
characteristics. However, the recognition of a fingerprint may be
influenced by a lot of factors (e.g., skin conditions, sensor
conditions) and a matching algorithm is highly affected by the
quality of the images involved. This work proposes a novel method
for Fingerprint Quality Assessment (FQA) based on the analysis of
the Gabor filters response on a fingerprint image. The correlation
between the worst quality templates and the matching score has
also been analyzed. The method is validated on FVC2000DB3,
FVC2004DB2, FVC2004DB3, and FVC2006DB3 databases. This work was
compared to other FQAs in order to evaluate performance and with
different matching algorithms for fair comparison. The results
found pointed that the proposed method is able to identify the
images which most affect the error rates of an AFIS, better than
the other methods presented in the literature.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
doi = "10.1109/SIBGRAPI.2018.00042",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00042",
language = "en",
ibi = "8JMKD3MGPAW/3RNP4L5",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3RNP4L5",
targetfile = "PID5547019.pdf",
urlaccessdate = "2024, May 04"
}