An Efficient Face Recognition System using Deep Transfer Learning

Title

An Efficient Face Recognition System using Deep Transfer Learning

Creator

Ragsania R.; Vijayalakshmi S.

Description

Face recognition is an AI-based innovation used to find and recognize human appearances in videos and images. Organizations can apply face recognition to many different kinds of fields which may include biometrics, regulation of law, security and individual wellbeing; so as to take observation of individuals in any scenario. Face recognition has advanced from simple vision methods to progress in ML; and further to progressively refined neural networks (ANN) and related advances. It currently assumes an indispensable part as the initial phase in numerous basic applications, including the task of tracking a face. Face recognition is utilized to focus cameras or count the number of individuals present in a particular region. The innovation likewise has showcasing applications, for instance, showing recommended promotions when a specific user is detected. 2022 IEEE.

Source

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 2199-2203.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial neural networks; machine learning; Transfer learning

Coverage

Ragsania R., Christ University, Department of Data Science, India; Vijayalakshmi S., Christ University, Department of Data Science, India

Rights

Restricted Access

Relation

ISBN: 978-166543789-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICACITE53722.2022.9823797

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135496522&doi=10.1109%2fICACITE53722.2022.9823797&partnerID=40&md5=d5638336639a173e1adede28f4944ae4