Android Based Palmprint Recognition System
Abstract: This paper aims to
build a palmprint recognition system based on Android. Line detection and
non-overlapping blocks methods used on the design of palmprint recognition
system. Normalized Euclidean distance was used to match the two feature vector.
The similarity degrees was measured by the smallest value. The method was
applied to the system can result an accuracy rate about 91,32% (FMR = 5,2%,
FNMR = 3,68%, T = 0,265). System testing was done as much as 2500 times to the
50 participants with 3 reference images of each user. The factor that
influenced on system accuracy was the process of image acquisition. Palmprint
images was taken directly by using camera on the android smartphone device.
Author: Gede Ngurah Pasek
Pusia Putra, Ketut Gede Darma Putra, Putu Wira Buana
Journal Code: jptkomputergg140044
