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Local minutiae descriptors such as Minutia Cylinder-Code (MCC) are becoming increasingly popular in modern fingerprint verification systems. The verification performance depends on the fingerprint image quality in global and local levels. Discarding part of the lowest quality samples based on quality measures is a universal approach being widely used for improving the performance of biometric recognition...
A major source of errors in fingerprint recognition systems is poor quality of fingerprints. Local quality of fingerprints plays an important role in these systems to ensure high recognition performance. Recently an improved fingerprint matching method is proposed to use minutiae information encoded by Minutia Cylinder-Code (MCC) together with cylinder quality measures as local quality measures associated...
The issue of Coverage in visual sensor networks (VSNs) has attracted considerable attention due to sensors unique directional sensing characteristic. It answers the question that how well the target field is monitored by a network of sensors with video/image capturing capability. In floor plan scenario the network is to monitor a plane parallel to the sensors' deployment plane. Coverage probability...
Poor data quality is responsible for many or even most matching errors in fingerprint recognition systems. It became obvious that particular effort is needed in adaptation of the state-of-the-art minutiae-based fingerprint matching techniques to real-world conditions using quality measures. In this paper, we address a challenging problem of how to associate local quality measures to local minutiae...
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