TY - JOUR
T1 - Analysis of performance of palmprint matching with enforced sparsity
AU - Nibouche, Omar
AU - Jiang, Jianmin
AU - Trundle, Paul
PY - 2012/3
Y1 - 2012/3
N2 - In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.
AB - In this paper, a new palmprint matching system based on the extraction of feature points is suggested. Using a scale-space representation, the points in question are corners formed by the intersection of creases and lines. Unlike minutiae, such points can still be extracted even on low resolution palmprints. Matching is carried out using an SVD factorisation of a proximity matrix and takes account of the coordinates of the detected points and their local texture. Our experiments have yielded some very good results evidenced by an EER of 0.10%.
U2 - 10.1016/j.dsp.2011.10.011
DO - 10.1016/j.dsp.2011.10.011
M3 - Article
VL - 22
SP - 348
EP - 355
JO - Digital Signal Processing
JF - Digital Signal Processing
SN - 1051-2004
IS - 2
ER -