Facial Recognition Automation System Using Machine Learning
Shreshtha Singh, UM Prakash · 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · 2022
The first crucial identity of human beings is through an individual's face in our evolving technical era. Biometrics has been explored and has given scope to a lot of recognitions technique. However the techniques involving fingerprint scan or card scanning system has been failed to prevent frauds and forgery to a large number of extent. The failures of these methodology gave rise to the facial recognition model. This methodology results in less frauds and forgery. The algorithm used that is Histogram Orient of Gradients. HOG along with effective Machine Learning approach boasts the previously occurring methodology to become more robust. The proposed method accumulates the information with the input face image and corresponding name and roll number; hereafter once the information is stored the face would be recognised and accordingly attendance would be updated. The whole automation of Facial Recognition is carried out with a user-friendly and effective architecture and robust Machine Learning approach.