Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2018: thales.korting
Metadata Last Update2020: administrator
Citation KeyRodriguesBorg:2018:EsCoSo
TitleEstudo comparativo sobre o uso de pré-processamento na detecção de poros de suor em impressões digitais
DateOct. 29 - Nov. 1, 2018
Access Date2021, Jan. 19
Number of Files1
Size558 KiB
Context area
Author1 Rodrigues, Emily S.
2 Borges, Vinicius R. P.
Affiliation1 Universidade de Brasília
2 Universidade de Brasília
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeUndergraduate Work
History2018-10-26 22:53:20 :: -> administrator ::
2018-11-27 19:37:14 :: administrator -> thales.korting :: 2018
2018-11-27 19:37:49 :: thales.korting -> administrator :: 2018
2020-02-20 22:06:52 :: administrator -> :: 2018
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordsbiometria, impressão digital, poros de suor, processamento de imagem, pré-processamento.
AbstractThis 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.
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SIBGRAPI2018.pdf 26/10/2018 19:53 557.6 KiB 
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Target FileSIBGRAPI2018.pdf
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Next Higher Units8JMKD3MGPAW/3RPADUS
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