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Three datasets of bimodal matching scores (signatures and fingerprints from 75 subjects of the MCYT database [VISP1]), together with scalar fingerprint quality measures labelled by a human expert [VISP2], both in MATLAB and ASCII format, corresponding to:
1.- The highest quality finger for 90% of the subjects, the lowest quality finger for the remaining 10%. This setup is used in [PRL1] (where the baseline signature and fingerprint systems are sketched, and a SVM-based user-dependent fusion scheme is proposed and studied) and [PR1] (where a more efficient Bayesian user-based fusion scheme is proposed and studied). The baseline fingerprint and signature systems are described in detail in [VISP2] and [PRL2], respectively.
2.- The highest quality finger for the 95% of the 75 subjects, the lowest quality finger for the remaining 5%. This setup is used in [PR2] (where a discriminative quality-based fusion scheme is proposed and studied).
3.- The index finger for all subjects, also used in [PR2] in comparison with the previous setup 95%-5%.