TY  - JOUR
T1  - Face and Vein Identification Using LBP, LDiP and
LDNP as Local-Feature Descriptors
AU - Setiadikarunia, Daniel AU - Saragih, Riko Arlando AU - Benjamin, Bharma 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 13
SP  - 3299
EP  - 3303
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.3299.3303
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.3299.3303
KW  - LBP
KW  -LDiP
KW  -LDNP
KW  -face
KW  -vein
KW  -recognition rate
AB  - Visual pattern recognition using face and vein images as input to identify someone is not a new issue
in the filed of pattern recognition. However, to acquire a face image is totally different with a vein image. In
addition, factors that affect the recognition rate among them are also different. This study describes simulations
that were conducted on three kinds local descriptors, i.e., LBP, LDiP and LDNP to represent face and vein
images for identification. The classification is using Chi-square histogram matching as a dissimilarity measure.
From the simulations conducted it was shown that the local-feature descriptor was not properly applied directly
for vein images.
ER  -