hh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Pre-registration for Improved Latent Fingerprint Identification
Universidad Autonóma de Madrid, Madrid, Spain.
Universidad Autonóma de Madrid, Madrid, Spain.ORCID-id: 0000-0002-6343-5656
Universidad Autonóma de Madrid, Madrid, Spain.ORCID-id: 0000-0001-5998-1489
Universidad Autonóma de Madrid, Madrid, Spain.ORCID-id: 0000-0003-0557-1948
Vise andre og tillknytning
2014 (engelsk)Inngår i: 2014 22nd International Conference on Pattern Recognition (ICPR) / [ed] Lisa O’Conner, Los Alamitos: IEEE Computer Society, 2014, s. 696-701Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Comparing a latent fingerprint minutiae set against a ten print fingerprint minutiae set using an automated fingerprint identification system is a challenging problem. This is mainly because latent fingerprints obtained from crime scenes are mostly partial fingerprints, and most automated systems expect approximately the same number of minutiae between query and the reference fingerprint under comparison for good performance. In this work, we propose a methodology to reduce the minutiae set of ten print with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the ten print orientation field. By reducing the search space of minutiae from the ten print, we can improve the performance of automated identification systems for latent fingerprints. We report the performance of our registration algorithm on the NIST-SD27 database as well as the improvement in the Rank Identification accuracy of a standard minutiae-based automated system. © 2014 IEEE.

sted, utgiver, år, opplag, sider
Los Alamitos: IEEE Computer Society, 2014. s. 696-701
Serie
International Conference on Pattern Recognition, ISSN 1051-4651
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-25869DOI: 10.1109/ICPR.2014.130ISI: 000359818000118Scopus ID: 2-s2.0-84919933102ISBN: 978-1-4799-5208-3 (tryckt)OAI: oai:DiVA.org:hh-25869DiVA, id: diva2:728946
Konferanse
22nd International Conference on Pattern Recognition, Stockholm, Sweden, August 24-28, 2014
Prosjekter
BBfor2
Forskningsfinansiär
EU, FP7, Seventh Framework Programme, FP7-ITN-238803
Merknad

R.K. was supported by a Marie Curie Fellowship under project BBfor2 (FP7-ITN-238803). This work has also been partially supported by Spanish Guardia Civil, Cátedra UAM-Telefónica, and projects Bio-Shield (TEC2012-34881) and Contexts (S2009/TIC-1485).

Tilgjengelig fra: 2014-06-25 Laget: 2014-06-25 Sist oppdatert: 2018-03-22bibliografisk kontrollert

Open Access i DiVA

fulltext(391 kB)273 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 391 kBChecksum SHA-512
dc4049b4bbab8c4a9f84552d61b0de307fe34d752fb88ce949c6c2f95e044e88b13f20d1eafd245e1cbfd80c4a2a3bc3fa8516209790f9c97bb3e9acf47d604e
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Fierrez, JulianRamos, DanielOrtega-Garcia, JavierBigun, Josef

Søk i DiVA

Av forfatter/redaktør
Fierrez, JulianRamos, DanielOrtega-Garcia, JavierBigun, Josef
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 273 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 258 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf