Literature review of fingerprint quality assessment and its evaluation
Literature review of fingerprint quality assessment and its evaluation
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DOI：
10.1049/iet-bmt.2015.0027
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发表时间：
2016-09
期刊：
影响因子：
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通讯作者：
Zhigang Yao;J. L. Bars;C. Charrier;C. Rosenberger
中科院分区：
文献类型：
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作者：
Zhigang Yao;J. L. Bars;C. Charrier;C. Rosenberger
由于样本中包含各种噪声信息，例如物理缺陷和传感设备引起的扭曲，指纹质量评估（FQA）一直是一个具有挑战性的问题。现有的研究已经努力寻找更合适的技术来评估指纹质量，但由于图像设置不同等原因，很难实现通用的解决方案。这项研究有两个方面，与常见问题解答相关，包括对评估指纹图像质量的先前工作和相关评估方法的文献综述。首先，作者对过去几十年提出的一些代表性研究进行了分类，以展示迄今为止这个问题是如何解决的。其次，本研究简要介绍了相关的评估方法，然后根据招生选择提供了一个扩展的评估框架，为评估质量指标提供了可重复的、统计上令人信服的措施。实验结果通过离线试验证明了所提出的评估框架的可用性。
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.