We report performance of one-to-many fingerprint identification algorithms using one, two, four, eight or ten fingers for recognition. Performance is quantified in terms of recognition accuracy (false positive and false negative identification rate), robustness of algorithms (failure to process images) and computational efficiency (time to execute and size of the generated templates). We measured performance on a large dataset of fingerprint images of operational quality using varying enrollment sizes. The main contributions of this paper are two fold: a) open-set identification performance measures and b) an assessment of core capability of current one-to-many fingerprint recognition algorithms. This is accomplished using a subset of algorithms reported in the Fingerprint Vendor Technology Evaluation (FpVTE2012) that show the range and bounds of performance seen in that evaluation.

We present the design and implementation of MultiKron PCI, a hardware performance monitor that can be plugged into any computer with a free PCI bus slot. The monitor provides a series of high-resolution timers, and the ability to monitor the utilization of the PCI bus. We also demonstrate how the monitor can be integrated with online performance monitoring tools such as the Paradyn parallel performance measurement tools to improve the overhead of key timer operations by a factor of 25. In addition, we present a series of case studies using the MultiKron hardware performance monitor to measure and tune high-performance parallel completing applications. By using the monitor, we were able to find and correct a performance bug in a popular implementation of the MPI message passing library that caused some communication primitives to run at one half their potential speed.