A Survey on Face Recognition Techniques in Machine Learning-Reference-Cited by-同舟云学术

A Survey on Face Recognition Techniques in Machine Learning

Published:2022-11-01 Issue: Volume: Page:50-66
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Shantanu Jain ¹,Vrushaket Chaudhari ¹,Rushikesh Chuadhari ¹,Tanvesh Chavan ¹,Prof. Priyanka Shahane ²

Affiliation:

1. Computer Engineering, SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India

2. Assistant Professor at Computer Engineering, SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India

Abstract

In the digital world, biometrics is used for authentication or recognition to examine and confirm a person's distinguishing physical or behavioral attributes. There are many authentication systems available today that use iris, fingerprint, and face features for identification and verification. Face recognition-based systems are the most popular since they don't always need the user's assistance, are more automated, and are simple to use. Face recognition paves the way for an innovative way to perceive a human face. Face recognition and identification have been used in access control systems, which have become widely used in security frameworks during the past few years. With the help of biometrics, a facial recognition system can extract facial details from a picture or video. The data is compared to a database of recognized faces to identify a match. Personal identity can be confirmed through facial recognition. This review paper offers a comparison of various facial recognition methods.

Publisher

Technoscience Academy

Subject

General Medicine

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