Performance of fingerprint quality measures depending on sensor technology
Performance of fingerprint quality measures depending on sensor technology
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DOI：
10.1117/1.2895876
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发表时间：
2008-01-01
影响因子：
1.1
通讯作者：
Gonzalez-Rodriguez, Joaquin
中科院分区：
文献类型：
--
作者：
Alonso-Fernandez, Fernando;Roli, Fabio;Gonzalez-Rodriguez, Joaquin
虽然已经提出了许多指纹图像质量措施，但很少有作品考虑到捕获设备之间的差异如何影响图像质量。使用光学和电容传感器比较了用于评估指纹图像质量的几种代表性措施。我们实现并测试了一组有代表性的措施，这些措施依赖于不同的指纹图像特征进行质量评估。研究了识别不同质量图像的能力及其与验证性能的关系。在我们的验证实验中，我们使用了基于细节和脊线的匹配器，这是指纹识别中最常见的方法。我们报告了不同传感器的差异，并指出了传感器技术与用于质量评估的特征之间的有趣关系。(C) 2008 SPIE and IS&T。
Although many image quality measures have been proposed for fingerprints, few works have taken into account how differences among capture devices impact the image quality. Several representative measures for assessing the quality of fingerprint images are compared using an optical and a capacitive sensor. We implement and test a representative set of measures that rely on different fingerprint image features for quality assessment. The capability to discriminate between images of different quality and the relationship with the verification performance are studied. For our verification experiments, we use minutiae- and ridge-based matchers, which are the most common approaches for fingerprint recognition. We report differences depending on the sensor, and interesting relationships between sensor technology and features used for quality assessment are also pointed out. (C) 2008 SPIE and IS&T.