Hybrid Computerized Face Recognition System Using Bag of Visual Words and MLP-Based BPNN
L. Jagjeevan Rao, Coneri Harshitha, CMAK Zeelan Basha, Nazia Parveen · 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) · 2020
Nowadays in a situation like the Covid19 pandemic it is very sensitive to use biometric systems for attendance monitoring of employees. The reason is covid19 spreads from one person to another easily with a biometric system. It has become necessary for any organization to maintain an attendance monitoring system without taking fingerprints of any employee or a student. The automatic Face recognition system is best to alternate for the biometric system. An advanced automatic face recognition technique is proposed in this paper with the classification technique using Bag of Visual Words (BOVW) and Multi-Layer Perceptron (MLP) based Back Propagation Neural Network (BPNN). An Accuracy of 91% is achieved with the proposed methodology.