Biometrics for the elderly people: a survey

Biometric recognition aims to recognize subjects based on the biological and behavioural characteristics automatically. As the global trend of population aging intensifies, many elderly people face challenges to cooperate with biometric systems due to health issues or cognitive impairments. The recognition accuracy would be influented due to age-related changes in physical characteristics, such as increased wrinkles. Recently, biometrics for the elderly people has drawn attentions. In this work, we present a comprehensive survey of recent progress in biometrics of the elderly people with various data modalities. Specifically, we study the challenges, methods, and datasets for various data modalities, followed by insightful advice for the development of biometric systems and products.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1117/12.3056234
Primary Topic
User Authentication and Security Systems
Type
article
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article

Biometrics for the elderly people: a survey

Geng Li, Yao Liu, Wenfeng Wang, Chen Zhong et al.
User Authentication and Security Systems
article

Biometrics for the elderly people: a survey

Geng Li, Yao Liu, Wenfeng Wang, Chen Zhong, Wei Li
article en

Abstract

Biometric recognition aims to recognize subjects based on the biological and behavioural characteristics automatically. As the global trend of population aging intensifies, many elderly people face challenges to cooperate with biometric systems due to health issues or cognitive impairments. The recognition accuracy would be influented due to age-related changes in physical characteristics, such as increased wrinkles. Recently, biometrics for the elderly people has drawn attentions. In this work, we present a comprehensive survey of recent progress in biometrics of the elderly people with various data modalities. Specifically, we study the challenges, methods, and datasets for various data modalities, followed by insightful advice for the development of biometric systems and products.

China Electronics Standardization Institute (CN)
Openalex Percentile: Top 86%
User Authentication and Security Systems
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Biometrics for the elderly people: a survey — Geng Li, Yao Liu, et al. · (2025) | TGRS Research Map | TGRS