Face recognition challenges due to aging: a review
by Vernika Mehta; Surbhi Mathur
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 15, No. 2, 2023

Abstract: This review paper aims to identify the challenges faced in the face recognition of a person who is seen after a large age gap, we discuss the factors affecting the facial changes during age progression and how to mitigate those challenges by incorporating various identifying, non-variable parameters basis which even a human can recognise a person after a progressed age. The paper intends to introduce the innate quality of persons known as super recognisers who are able to identify an individual even if they have only seen the childhood picture of the person to be found or identified, or even if only 50% of the face to be identified is visible.

Online publication date: Thu, 02-Mar-2023

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