Face recognition and gender information is a computer application for automatically identifying or verifying a person's face from a camera to capture a person's face. It is usually used in access control systems and it can be compared to other biometrics such as finger print identification system or iris. Many of face recognition algorithms have been developed in recent years. Face recognition system and gender information in this system based on the Principal Component Analysis method (PCA). Computational method has a simple and fast compared with the use of the method requires a lot of learning, such as artificial neural network. In this access control system, relay used and Arduino controller. In this essay focuses on face recognition and gender -based information in real time using the method of Principal Component Analysis ( PCA ). The result achieved from the application design is the identification of a persons face with gender using PCA. The results achieved by the application is face recognition system using PCA can obtain good results the 85 % success rate in face recognition with face images that have been tested by a few people and a fairly high degree of accuracy.
Nurmala P, Gazali W and Budiharto D. W. (2015). Sistem Kontrol Akses Berbasis Real Time Face Recognition dan Gender Information. ComTech, 6 (2), 198-207.
face recognition, gender information, real time, PCA, Arduino