Title: Face recognition challenges due to aging: a review

Authors: Vernika Mehta; Surbhi Mathur

Addresses: National Forensic Sciences University, Sector 9, Gandhinagar, Gujarat 382007, India ' National Forensic Sciences University, Sector 9, Gandhinagar, Gujarat 382007, India

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.

Keywords: facial changes; face recognition; age progression; innate quality; super recognisers.

DOI: 10.1504/IJESDF.2023.129276

International Journal of Electronic Security and Digital Forensics, 2023 Vol.15 No.2, pp.184 - 194

Received: 30 Mar 2022
Accepted: 22 Jun 2022
Published online: 02 Mar 2023 *

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