Palmprint Verification Using Time Series Method
Abstract: The use of
biometrics as an automatic recognition system is growing rapidly in solving
security problems; palmprint is one of biometric system which often used. This
paper used two steps in center of mass moment method for region of interest
(ROI) segmentation and apply the time series method combined with block window
method as feature representation. Normalized Euclidean Distance is used to
measure the similarity degrees of two feature vectors of palm print. System
testing is done using 500 samples palms, with 4 samples as the reference image
and the 6 samples as test images. Experiment results show this system can
achieve a high performance with success rate about 97.33% (FNMR=1.67%, FMR=1.00
%, T=0.036).
Author: Agus Anwar, Darma
Putra, Agung Cahyawan
Journal Code: jptkomputergg130106
