Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Biometric fusion is the approach to improve the biometric system performance by combining multiple sources of biometric information. The binary spectral minutiae representation is a method to represent a fingerprint minutiae set as a fixed-length binary string. This binary representation has the advantages of a fast operation and a small template storage. It also enables the combination of a biometric system with template protection schemes that require a fixed-length feature vector as input. In this paper, based on the spectral minutiae representation algorithm, we investigate the multi-sample fusion algorithms at the feature-, score-, and decision-level respectively. Furthermore, we propose different schemes to mask out unreliable bits. The algorithms are evaluated on the FVC2000-DB2 database and showed promising results.
Original languageUndefined
Title of host publicationProceedings of the 12th ACM Workshop on Multimedia and Security
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages73-80
Number of pages7
ISBN (Print)978-1-4503-0286-9
DOIs
Publication statusPublished - Sep 2010
Event12th ACM Workshop on Multimedia and Security, MM&Sec 2010 - Rome, Italy
Duration: 9 Sep 201010 Sep 2010
Conference number: 12

Publication series

Name
PublisherACM

Workshop

Workshop12th ACM Workshop on Multimedia and Security, MM&Sec 2010
Abbreviated titleMM&Sec
CountryItaly
CityRome
Period9/09/1010/09/10

Keywords

  • METIS-271066
  • IR-73657
  • Finger print
  • EWI-18582
  • Template Protection
  • SCS-Safety
  • Biometrics

Cite this

Xu, H., & Veldhuis, R. N. J. (2010). Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition. In Proceedings of the 12th ACM Workshop on Multimedia and Security (pp. 73-80). New York, NY, USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/1854229.1854245
Xu, H. ; Veldhuis, Raymond N.J. / Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition. Proceedings of the 12th ACM Workshop on Multimedia and Security. New York, NY, USA : Association for Computing Machinery (ACM), 2010. pp. 73-80
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Xu, H & Veldhuis, RNJ 2010, Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition. in Proceedings of the 12th ACM Workshop on Multimedia and Security. Association for Computing Machinery (ACM), New York, NY, USA, pp. 73-80, 12th ACM Workshop on Multimedia and Security, MM&Sec 2010, Rome, Italy, 9/09/10. https://doi.org/10.1145/1854229.1854245

Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition. / Xu, H.; Veldhuis, Raymond N.J.

Proceedings of the 12th ACM Workshop on Multimedia and Security. New York, NY, USA : Association for Computing Machinery (ACM), 2010. p. 73-80.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Xu H, Veldhuis RNJ. Binary spectral minutiae representation with multi-sample fusion for fingerprint recognition. In Proceedings of the 12th ACM Workshop on Multimedia and Security. New York, NY, USA: Association for Computing Machinery (ACM). 2010. p. 73-80 https://doi.org/10.1145/1854229.1854245