Performance of fingerprint quality measures depending on sensor technology

Julian Fierrez, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez‡ (Dated: November 15, 2007) Abstract Although many image quality measures have been proposed for fingerprints, few works have taken into account how differences among capture devices impact on the image quality. In this paper, 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 its relationship with the verification performance is studied. For our verification experiments, we use a minutiaeand a ridge-based matcher, 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.