Literature review of fingerprint quality assessment and its evaluation

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 paper gives a twofold study related to FQA, including a literature review of the prior work in assessing fingerprint image quality and the associated evaluation approaches. First, we categorized some representative studies proposed in last few decades to show how this problem has been solved so far. Second, the paper gives a brief introduction of the associated evaluation approaches, and then contributes an extended evaluation framework based on the enrollment 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.