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Browsing by Author "Mngenge, NA"

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  • Mngenge, NA; Nelufule, NN; Nelwamondo, FV; Msimang, M (IEEE Xplore, 2012-11)
    Automatic Fingerprint Recognition Systems (AFRSs) rely on minutiae position and orientation within the fingerprint image for matching. Minutiae information is highly accurate provided that the fingerprint image matched is ...
  • Mngenge, NA; Mthembu, L; Nelwamondo, FV; Ngejane, CH (IEEE, 2015-07)
    Fingerprint indexing is an efficient approach that improves matching performance significantly in Automated Fingerprint Recognition Systems (AFRSs). Fingerprints are currently the most highly reliable and widely biometrics ...
  • Mngenge, NA; Nelwamondo, FV; Malumedzha, T; Msimang, N (Springer-Verlag, 2012-06)
    The need for segmentation of low quality fingerprints in forensics, high security and civilian applications is constantly increasing. Most segmentation algorithms proposed in the literature normally deal with separation ...