Open AccessFacial Recognition for Car Security System Using Fisherface Method
Author(s) -
R F Rahmat,
Michele Loi,
Sharfina Faza,
Dedy Arisandi,
Rahmat Budiarto
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1235/1/012119
Subject(s) - biometrics , computer science , facial recognition system , security system , computer security , artificial intelligence , pattern recognition (psychology)
The increasing crime of car theft proves that there is still a frail security system installed on the car. Apart from the expertise possessed by the car thieves, the crime of car theft can also occur due to the negligence of the car owner in leaving his car. One of the examples is leaving the car when the engine is on. This is the main reason for car owners to have an advanced security system. The application of biometrics technology is expected to be a solution for improving the car security system. One of the biometrics technologies to be applied in car security systems is facial recognition technology. In this study, facial recognition is in real-time using the fisherface method to improve the security system of a car when the engine is still on. The results show that the fisherface method performs well with an accuracy of 83.04%. The results indicate that the facial recognition application using the fisherface method is one of the most effective solutions in improving car security systems.