Retraction: A Fast and Accurate Face Recognition Security System

Abstract

Using facial recognition technology, provide the best security system with alerts for smart devices such as laptops and PCs. The design descriptions of the various modules involved in automatic face recognition are presented in this paper: face detection, face identification, and face verification. Also we're visiting further process the image captured by CV to test whether the person is allowed or unauthorized to access the laptop or PC using openCV and native Binary Pattern Histogram (BPH) Algorithm. The LBPH algorithm is also a simple solution to the problem of face recognition, since it can identify both the front and side faces. A updated LBPH algorithm assisted pixel neighbourhood grey median (MLBPH) is proposed to solve this problem. After detection, the image is verified and allows only the user to access the laptop or PC if he/she's authorized. And if not, an e-mail or message is pushed to the respective person to alert that somebody else is using his/her laptop by enhance the privacy.