Real Time Access Control Based on Face Recognition

Abstract

Abstract-Nowadays the number of thefts and identity fraud has become a serious issue. In order to avoid these thefts and identity fraud, a face recognition system must be established. The scope of this project is to develop a security access control application based on face recognition. The haar-like features is used for face detection and PCA algorithm is used for face recognition. In order to achieve a higher accuracy and effectiveness we use OpenCV libraries and python computer language. Training and identification is done in embedded device known as Raspberry Pi. During our paper we focus on accuracy increment by controlling parameters such as background, light and number of trainings. During our paper we also explicate cost issues of our application compared with commercial applications.

Perancangan Door Lock Face Recognition Dengan Metoda Eigenfaces Menggunakan Opencv2.4.9 Dan Telegram Messenger Berbasis Raspberry Pi

“…Karena banyaknya gangguan terhadap penggunaan password maupun PIN [3], sehingga masyarakat membutuhkan sebuah mekanisme pengenalan individu yang dapat diterima dan bersahabat. Sistem pengenalan wajah bertujuan mengenali apakah citra yang diambil merupakan wajah seseorang yang terdapat dalam database.…”