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Auflistung nach Autor:in "Jain, Anil K."

1 - 4 von 4
  • Konferenzbeitrag
    3D whole hand targets: evaluating slap and contactless fingerprint readers
    (Biosig 2016, 2016) Arora, Sunpreet S.; Jain, Anil K.; Jr., Nicholas G. Paulter
  • Konferenzbeitrag
    Advances in capturing child fingerprints: a high resolution CMOS image sensor with SLDR method
    (Biosig 2016, 2016) Koda, Yoshinori; Higuchi, Teruyuki; Jain, Anil K.
  • Konferenzbeitrag
    Automatic face recognition of newborns, infants, and toddlers: a longitudinal evaluation
    (Biosig 2016, 2016) Best-Rowden, Lacey; Hoole, Yovahn; Jain, Anil K.
  • Textdokument
    Benchmarking Fingerprint Minutiae Extractors
    (BIOSIG 2017, 2017) Chugh,Tarang; Arora,Sunpreet S.; Jain, Anil K.; Paulter Jr.,Nicholas G.
    The performance of a fingerprint recognition system hinges on the errors introduced in each of its modules: image acquisition, preprocessing, feature extraction, and matching. One of the most critical and fundamental steps in fingerprint recognition is robust and accurate minutiae extraction. Hence we conduct a repeatable and controlled evaluation of one open-source and three commercial-off-the-shelf (COTS) minutiae extractors in terms of their performance in minutiae detection and localization. We also evaluate their robustness against controlled levels of image degradations introduced in the fingerprint images. Experiments were conducted on (i) a total of 3;458 fingerprint images from five public-domain databases, and (ii) 40;000 synthetically generated fingerprint images. The contributions of this study include: (i) a benchmark for minutiae extractors and minutiae interoperability, and (ii) robustness of minutiae extractors against image degradations.