PROGRAM SEDERHANA SISTEM PENGENALAN WAJAH MENGGUNAKAN FUNGSI JARAK
Abstract: Over the years, face
recognition ones of biometric characteristic has attracted attention of many
researchers and scientists. Many efforts has been done to built an automatic
system capable of recognizing faces with several different techniques. The
simple program for face recognition has been developed. The purpose of this
program is to compare efectifity two simple distance functions namely Manhattan
(L1) and Euclidean (L2) as classifier for face recognition system. In this
research, system is trained and tested using dataset images of the five persons
with different expresion faces. The results of our experiments show that the
system could be more accurate from 95% for Manhattan distance function (L1) to
be 100% for Euclidean distance function (L2).
Penulis: Abdul Fadlil
Kode Jurnal: jptkomputerdd060030
