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.
Hybrid Computerized Face Recognition System Using Bag of Visual Words and MLP-Based BPNN
2020-11-05
319687 byte
Conference paper
Electronic Resource
English
Track prediction algorithm based on GA-BPNN
IEEE | 2021
|Short-Term Load Forecasting Model Based on Multi-label and BPNN
Springer Verlag | 2017
|Steady-state characteristics prediction of marine towing cable with BPNN
Taylor & Francis Verlag | 2024
|