Kinship verification via ear images: A comparative study

Phuong Quang Luu, Bay Van Nguyen and Huy Quoc Nguyen ()
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Phuong Quang Luu: Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam
Bay Van Nguyen: Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam
Huy Quoc Nguyen: Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam

HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, 2025, vol. 15, issue 1, 47-57

Abstract: Kinship verification is crucial in daily life, especially in the legal field. Nowadays, most kinship verification methods utilize the advantages of human DNA and facial features. However, these methods require a lot of complex procedures, so they are unsuitable for real-time application. Therefore, researchers started to propose other promising biometrics, and the human ear is one of the most potential. The human ear has long been recognized as a robust biometric trait, comparable to others, such as face, iris, and fingerprint. This paper proposes using ear images to identify human kinship based on several well-known deep-learning networks. Moreover, an ear image set is presented to tackle the lack of a kinship-annotated dataset.

Keywords: deep learning; ear biometric; kinship verification (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjw:techen:v:15:y:2025:i:1:p:47-57

DOI: 10.46223/HCMCOUJS.tech.en.15.1.3683.2025

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