Face recognition using the convolutional neural network for barrier gate system

• Main Authors: Mochammad Langgeng, Prasetyo, Achmad Teguh, Wibowo, Mujib, Ridwan, Mohammad Khusnu, Milad, Sirajul, Arifin, Muhammad Andik, Izzuddin, Rr Diah Nugraheni, Setyowati, Ferda, Ernawan
• Format: Article
• Language: English
• Published: International Association of Online Engineering 2021
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/31810/1/Face%20recognition%20using%20the%20convolutional%20neural%20network%20for%20barrier%20gate%20system.pdf; http://umpir.ump.edu.my/id/eprint/31810/; https://doi.org/10.3991/ijim.v15i10.20175; https://doi.org/10.3991/ijim.v15i10.20175
• Institution: Universiti Malaysia Pahang

The implementation of face recognition technique using CCTV is able to prevent unauthorized person enter the gate. Face recognition can be used for authentication, which can be implemented for preventing of criminal incidents. This re-search proposed a face recognition system using convolutional neu...