Publication Details
Semantic Conformance Testing Methodology for Finger Minutiae Data
Busch Christoph, prof. Dr. (FhG-IGD)
Tabassi Elham (NIST)
Krodel Wolfgang (BKA)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
conformance testing, fingerprint recognition, minutiae, image quality
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.
@INPROCEEDINGS{FITPUB9049, author = "Dana Lodrov\'{a} and Christoph Busch and Elham Tabassi and Wolfgang Krodel and Martin Drahansk\'{y}", title = "Semantic Conformance Testing Methodology for Finger Minutiae Data", pages = "31--42", booktitle = "Proceedings of the Special Interest Group on Biometrics and Electronic Signatures", series = "Lecture Notes in Informatics", year = 2009, location = "Darmstadt, DE", publisher = "Society for Informatics", ISBN = "978-3-88579-249-9", language = "english", url = "https://www.fit.vut.cz/research/publication/9049" }