Publication detail

Semantic Conformance Testing Methodology for Finger Minutiae Data

LODROVÁ, D. BUSCH, C. TABASSI, E. KRODEL, W. DRAHANSKÝ, M.

Original Title

Semantic Conformance Testing Methodology for Finger Minutiae Data

English Title

Semantic Conformance Testing Methodology for Finger Minutiae Data

Type

conference paper

Language

en

Original Abstract

This paper proposes a methodology to measure the semantic conformance rate of standardized biometric minutia interchange records. The paper proposes a fingerprint modality specific assertion test. A conformance test based on this methodology can attest for a given algorithm or software under test that the generated minutiae templates are a faithful representation of the input signal (i.e. fingerprint image). The test methodology is based on ground truth data that has been composed by dactyloscopic experts. As individual experts assessment yields slightly diverging coordinates a clustering algorithm is proposed that merges a set of manually placed minutia into one ground truth data set. The methodology is evaluated on ten-print fingerprint images and the NIST baseline minutia extraction algorithm.

English abstract

This paper proposes a methodology to measure the semantic conformance rate of standardized biometric minutia interchange records. The paper proposes a fingerprint modality specific assertion test. A conformance test based on this methodology can attest for a given algorithm or software under test that the generated minutiae templates are a faithful representation of the input signal (i.e. fingerprint image). The test methodology is based on ground truth data that has been composed by dactyloscopic experts. As individual experts assessment yields slightly diverging coordinates a clustering algorithm is proposed that merges a set of manually placed minutia into one ground truth data set. The methodology is evaluated on ten-print fingerprint images and the NIST baseline minutia extraction algorithm.

Keywords

conformance testing, fingerprint recognition, minutiae, image quality

RIV year

2009

Released

17.09.2009

Publisher

Society for Informatics

Location

Darmstadt

ISBN

978-3-88579-249-9

Book

Proceedings of the Special Interest Group on Biometrics and Electronic Signatures

Edition

Lecture Notes in Informatics

Edition number

NEUVEDEN

Pages from

31

Pages to

42

Pages count

12

BibTex


@inproceedings{BUT33801,
  author="Dana {Lodrová} and Christoph {Busch} and Elham {Tabasi} and Wolfgang {Krodel} and Martin {Drahanský}",
  title="Semantic Conformance Testing Methodology for Finger Minutiae Data",
  annote="This paper proposes a methodology to measure the semantic conformance rate of
standardized biometric minutia interchange records. The paper proposes
a fingerprint modality specific assertion test. A conformance test based on this
methodology can attest for a given algorithm or software under test that the
generated minutiae templates are a faithful representation of the input signal
(i.e. fingerprint image). The test methodology is based on ground truth data that
has been composed by dactyloscopic experts. As individual experts assessment
yields slightly diverging coordinates a clustering algorithm is proposed that
merges a set of manually placed minutia into one ground truth data set. The
methodology is evaluated on ten-print fingerprint images and the NIST baseline
minutia extraction algorithm.",
  address="Society for Informatics",
  booktitle="Proceedings of the Special Interest Group on Biometrics and Electronic Signatures",
  chapter="33801",
  edition="Lecture Notes in Informatics",
  howpublished="print",
  institution="Society for Informatics",
  year="2009",
  month="september",
  pages="31--42",
  publisher="Society for Informatics",
  type="conference paper"
}