hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Kernel-based multimodal biometric verification using quality signals
Universidad Politecnica de Madrid, Madrid, Spain.
Universidad Politecnica de Madrid, Madrid, Spain.
Universidad Politecnica de Madrid, Madrid, Spain.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2004 (English)In: Proceedings of SPIE: Biometric Technology for Human Identification / [ed] Anil K. Jain, Nalini K. Ratha, 2004, Vol. 5404, p. 544-554Conference paper, Published paper (Other academic)
Abstract [en]

A novel kernel-based fusion strategy is presented. It is based on SVM classifiers, trade-off coefficients introduced in the standard SVM training and testing procedures, and quality measures of the input biometric signals. Experimental results on a prototype application based on voice and fingerprint traits are reported. The benefits of using the two modalities as compared to only using one of them are revealed. This is achieved by using a novel experimental procedure in which multi-modal verification performance tests are compared with multi-probe tests of the individual subsystems. Appropriate selection of the parameters of the proposed quality-based scheme leads to a quality-based fusion scheme outperforming the raw fusion strategy without considering quality signals. In particular, a relative improvement of 18% is obtained for small SVM training set size by using only fingerprint quality labels.

Place, publisher, year, edition, pages
2004. Vol. 5404, p. 544-554
Keywords [en]
Biometrics, Fingerprint, Multimodal authentication, Quality, Speaker, Support vector machine
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-14922DOI: 10.1117/12.542800Scopus ID: 2-s2.0-8844235081OAI: oai:DiVA.org:hh-14922DiVA, id: diva2:408398
Conference
Biometric Technology for Human Identification, SPIE - International Society for Optical Engineering, Orlando, FL,United States, 12-13 April, 2004
Note

http://www2.hh.se/staff/josef/public/publications/fierrez04orlando.pdf

Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2018-03-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Bigun, Josef

Search in DiVA

By author/editor
Bigun, Josef
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 99 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf