@InProceedings{RodriguesBorg:2018:EsCoSo,
author = "Rodrigues, Emily S. and Borges, Vinicius R. P.",
affiliation = "{Universidade de Bras{\'{\i}}lia} and {Universidade de
Bras{\'{\i}}lia}",
title = "Estudo comparativo sobre o uso de pr{\'e}-processamento na
detec{\c{c}}{\~a}o de poros de suor em impress{\~o}es
digitais",
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 = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "biometria, impress{\~a}o digital, poros de suor, processamento de
imagem, pr{\'e}-processamento.",
abstract = "This paper describes a study regarding the use of image
preprocessing techniques to improve the quality of fingerprints in
digital images. We investigated and compared some low-pass
filtering (Gaussian, median and anisotropic diffusion filtering)
and contrast enhancement (histogram equalization and image
normalization) techniques for identifying and extracting pores in
high resolution images. Our study was conducted by using an
automatic methodology for pore extraction in high resolution
fingerprint images, in which we considered several combinations of
filtering and contrast enhancement methods. Experiments were
performed using a public fingerprint image set and compared the
true pore and false pore detection rates of those combinations in
relation to the ground-truth images. The results reported that the
combination image normalization alongside anisotropic diffusion
filtering yielded the best performance.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "pt",
ibi = "8JMKD3MGPAW/3S4TFL5",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S4TFL5",
targetfile = "SIBGRAPI2018.pdf",
urlaccessdate = "2024, May 03"
}