Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3S4TFL5 |
Repository | sid.inpe.br/sibgrapi/2018/10.26.22.53 |
Last Update | 2018:11.27.19.37.49 thales.korting |
Metadata | sid.inpe.br/sibgrapi/2018/10.26.22.53.20 |
Metadata Last Update | 2020:02.20.22.06.52 administrator |
Citation Key | RodriguesBorg:2018:EsCoSo |
Title | Estudo comparativo sobre o uso de pré-processamento na detecção de poros de suor em impressões digitais  |
Format | On-line |
Year | 2018 |
Date | Oct. 29 - Nov. 1, 2018 |
Access Date | 2021, Jan. 16 |
Number of Files | 1 |
Size | 558 KiB |
Context area | |
Author | 1 Rodrigues, Emily S. 2 Borges, Vinicius R. P. |
Affiliation | 1 Universidade de Brasília 2 Universidade de Brasília |
Editor | Ross, 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 |
e-Mail Address | emily.souza.rs@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Undergraduate Work |
History | 2018-10-26 22:53:20 :: emily.souza.rs@gmail.com -> 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 Stage | completed |
Transferable | 1 |
Keywords | biometria, impressão digital, poros de suor, processamento de imagem, pré-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. |
source Directory Content | SIBGRAPI2018.pdf | 26/10/2018 19:53 | 557.6 KiB | |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3S4TFL5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3S4TFL5 |
Language | pt |
Target File | SIBGRAPI2018.pdf |
User Group | emily.souza.rs@gmail.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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