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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3887288
Repositorysid.inpe.br/sibgrapi/2010/09.09.12.46
Last Update2010:09.09.12.46.52 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.09.12.46.52
Metadata Last Update2022:06.14.00.07.00 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.17
Citation KeyPaulinoJainFeng:2010:FuMaMa
TitleLatent fingerprint matching: fusion of manually marked and derived minutiae
FormatPrinted, On-line.
Year2010
Access Date2024, Apr. 27
Number of Files1
Size2285 KiB
2. Context
Author1 Paulino, Alessandra Aparecida
2 Jain, Anil K.
3 Feng, Jianjiang
Affiliation1 Michigan State University
2 Michigan State University
3 Tsinghua University
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressalessandra.paulino@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:39 :: alessandra.paulino@gmail.com -> administrator :: 2010
2022-06-14 00:07:00 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Latent fingerprint matching:...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Latent fingerprint matching:...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3887288
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3887288
Languageen
Target FilePID1395615.pdf
User Groupalessandra.paulino@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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