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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3887288
Repositorysid.inpe.br/sibgrapi/2010/09.09.12.46
Metadatasid.inpe.br/sibgrapi/2010/09.09.12.46.52
Sitesibgrapi.sid.inpe.br
Citation KeyPaulinoJainFeng:2010:FuMaMa
Author1 Paulino, Alessandra Aparecida
2 Jain, Anil K.
3 Feng, Jianjiang
Affiliation1 Michigan State University
2 Michigan State University
3 Tsinghua University
TitleLatent fingerprint matching: fusion of manually marked and derived minutiae
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperanša, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordslatent fingerprint, fingerprint matching, rolled fingerprint, enhancement, minutiae extraction, interoperability.
AbstractMatching unknown latent fingerprints lifted from crime scenes to full (rolled or plain) fingerprints in law enforcement databases is of critical importance for combating crime and fighting terrorism. Compared to good quality full fingerprints acquired using live-scan or inking methods during enrollment, latent fingerprints are often smudgy and blurred, capture only a small finger area, and have large nonlinear distortion. For this reason, features (minutiae and singular points) in latents are typically manually marked by trained latent examiners. However, this introduces an undesired interoperability problem between latent examiners and automatic fingerprint identification systems (AFIS); the features marked by examiners are not always compatible with those automatically extracted by AFIS, resulting in reduced matching accuracy. While the use of automatically extracted minutiae from latents can avoid interoperability problem, such minutiae tend to be very unreliable, because of the poor quality of latents. In this paper, we improve latent to full fingerprint matching accuracy by combining manually marked (ground truth) minutiae with automatically extracted minutiae. Experimental results on a public domain database, NIST SD27, demonstrate the effectiveness of the proposed algorithm.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size2285 KiB
Number of Files1
Target FilePID1395615.pdf
Last Update2010:09.09.12.46.52 sid.inpe.br/banon/2001/03.30.15.38 alessandra.paulino@gmail.com
Metadata Last Update2010:10.01.04.19.39 sid.inpe.br/banon/2001/03.30.15.38 alessandra.paulino@gmail.com {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Mirrordpi.inpe.br/banon-pc2@80/2006/08.30.19.27
e-Mail Addressalessandra.paulino@gmail.com
User Groupalessandra.paulino@gmail.com
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Contentthere are no files
History2010-10-01 04:19:39 :: alessandra.paulino@gmail.com -> :: 2010
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit 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
Access Date2020, Nov. 24

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