UMR 6072 GREYC

Caen, France

UMR 6072 GREYC

Caen, France
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Yao Z.,University of Caen Lower Normandy | Le Bars J.-M.,University of Caen Lower Normandy | Charrier C.,University of Caen Lower Normandy | Rosenberger C.,UMR 6072 GREYC | Rosenberger C.,National Engineering School of Caen
IET Biometrics | Year: 2016

Fingerprint quality assessment (FQA) has been a challenging issue due to a variety of noisy information contained in the samples, such as physical defect and distortions caused by sensing devices. Existing studies have made efforts to find out more suitable techniques for assessing fingerprint quality but it is difficult to achieve a common solution because of, for example, different image settings. This study is two-fold, related to FQA, including a literature review of the prior work in assessing fingerprint image quality and the associated evaluation approaches. First, the authors categorised some representative studies proposed in last few decades to show how this problem has been solved so far. Second, this study gives a brief introduction of the associated evaluation approaches, and then contributes an extended evaluation framework based on the enrolment selection, which offers repeatable and statistically convincing measures for evaluating quality metrics. Experimental results demonstrate the usability of the proposed evaluation framework via offline trials. © The Institution of Engineering and Technology 2016.

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