Face recognition on bag locking mechanism

• Main Authors: Ishak, Mohamad Hafis Izran, Idris, Nurul Hawani, Sahlan, Shafishuhaza
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/85263/1/MohamadHafisIzranIshak2019_FaceRecognitiononBagLocking.pdf; http://eprints.utm.my/id/eprint/85263/; https://dx.doi.org/10.11113/elektrika.v18n2.112
• Institution: Universiti Teknologi Malaysia

With the emergent of biometric technology, people are no longer afraid to keep their important things in the safe box or room or even facility. This is because; human beings have unique features that distinguish them with other people. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called ‘Eigenfaces’, which are actually the principal components of the initial training set of face images. In this report, thorough explanation on design process of face recognition on bags locking mechanism will be elucidated. The results and analysis of the proposed design prototype also presented and explained. The platform for executing the algorithm is on the Raspberry Pi. There are two artificial intelligent techniques applied to manipulate and processing data which is fuzzy logic and neural networks. Both systems are interdependent with each other, so that it can calculate and analyse data precisely. The receive image from the camera is analysed through the Eigenfaces algorithm. The algorithm is using Principal Component Analysis (PCA) method which comprise of artificial neural network paradigm and also statistical paradigm.