Age Estimation from Facial Images of Human Beings

• Author(s): Olatunde Olukemi Victoria ; Olagunju Olabisi Kayode
• Paper ID: 1705290
• Page: 116-120
• Published Date: 13-12-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 6 December-2023

Abstract

Real-time age estimation applications are prevalent in biometrics, security, and healthcare fields. These applications support various elements for confirming or authenticating an individual’s identification, including age simulation, electronic customer relationship management, access control, surveillance, and age-specific human-computer interaction. The measure of how long a person or an object has existed is known as age, an age estimation system aims to attribute a certain age or age range to a given face image, with facial features, and the human face provides crucial data about a person's traits, including identity, expression, age, beauty, and gender, a person's age and identification can be estimated using facial recognition technology. This study proposed an innovative machine learning approach for classifying a person's age according to their facial image, thereby reducing reliance on sensitive identification data.

Keywords

Age, Age Estimation, Facial Images, Machine Learning

Citations

IRE Journals:
Olatunde Olukemi Victoria , Olagunju Olabisi Kayode "Age Estimation from Facial Images of Human Beings" Iconic Research And Engineering Journals Volume 7 Issue 6 2023 Page 116-120

IEEE:
Olatunde Olukemi Victoria , Olagunju Olabisi Kayode "Age Estimation from Facial Images of Human Beings" Iconic Research And Engineering Journals, 7(6)