@article {IOPORT.05718623,
    author       = {Yang, Ju Cheng and Park, Dong Sun},
    title        = {A fingerprint verification algorithm using tessellated invariant moment features.},
    year         = {2008},
    journal      = {Neurocomputing},
    volume       = {71},
    number       = {10-12},
    issn         = {0925-2312},
    pages        = {1939-1946},
    publisher    = {Elsevier Science Publishers B.V., Amsterdam},
    doi          = {10.1016/j.neucom.2007.12.034},
    abstract     = {Summary: In this paper, an enhanced image-based fingerprint verification algorithm is proposed to improve matching accuracy and processing speed by overcoming the demerits of previous methods over poor-quality images. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point, and then aligns the image according to the position and orientation of reference point to avoid time-consuming alignment. A set of fixed-length moment features, invariant to the affine transform, is extracted from tessellated cells on a region of interest (ROI) centered at the reference point. The similarity between an input and a template in a database is evaluated by eigenvalue-weighted cosine (EWC) distance. Experimental results show that the proposed method has better performance in accuracy and speed comparing with other renowned methods.},
    identifier   = {05718623},
}