Detail publikace

Semantic Conformance Testing Methodology for Finger Minutiae Data

Originální název

Semantic Conformance Testing Methodology for Finger Minutiae Data

Anglický název

Semantic Conformance Testing Methodology for Finger Minutiae Data

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}