Room Access Control System Using Facial Image Recognition


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The aim of the project is to implement a facial recognition system for access control to enter a room. The facial image captured by a webcam and then be detected/tracked using Haar face tracking algorithm. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithm have been used for face recognition. The system was tested with 10 users from the member of a laboratory room. Each user registered 100 images for training of the PCA and LDA. The recognition rate achieved using PCA was 70% and 97% for LDA.



Edited by:

Mohd Mustafa Al Bakri Abdullah, Rafiza Abd Razak, Muhammad Mahyiddin Ramli, Shayfull Zamree Abd Rahim, Rizalafande Che Ismail and Mohd Nasir Mat Saad




R. Lim et al., "Room Access Control System Using Facial Image Recognition", Applied Mechanics and Materials, Vol. 815, pp. 398-402, 2015

Online since:

November 2015




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