Comparative Study of Digital Fingerprint Quality Assessment Metrics
Zhigang Yao, Jean‐Marie Le Bars, Christophe Charrier, Christophe Rosenberger · 2018
The quality assessment of biometric data proceeds as a toll to decide whether a biometric sample may be used to generate the user's reference template. Many studies showed its significant impact on the subsequent performance of the biometric system. Since many metrics are proposed for this purpose by researchers or standardization institutions, their relevance should be studied in particular to evaluate their relative usefulness. This paper provides a comparative study of fingerprint quality assessment (FQA) metrics. We consider the enrollment selection validation approach to perform an objective comparison of them. We show the efficiency of 7 well known FQA metrics on 9 datasets. Results show a dependency of these metrics to the dataset (i.e. the fingerprint sensor) and for matchers a similar behavior.