TY - GEN
T1 - Identical Twins Verification with Fine-grained Recognition
AU - Hsu, Chih Chung
AU - Tsai, Pi Ju
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Facial recognition technology has been increasingly applied to daily life; however, differentiating identical twins remains a challenging task. This paper investigates the performance of facial recognition models on identical twins and introduces fine-grained image classification as a potential solution. We created a dataset of 54 pairs of twin images and tested various models on three datasets (LFW, SLLFW, and our homemade twins dataset) with different degrees of similarity. The Facenet model was chosen as the backbone network for our fine-tuned model due to its outstanding performance. The fine-tuned model showed improved performance in distinguishing negative pairs compared to the pretrained model and had slightly better accuracy than human recognition.
AB - Facial recognition technology has been increasingly applied to daily life; however, differentiating identical twins remains a challenging task. This paper investigates the performance of facial recognition models on identical twins and introduces fine-grained image classification as a potential solution. We created a dataset of 54 pairs of twin images and tested various models on three datasets (LFW, SLLFW, and our homemade twins dataset) with different degrees of similarity. The Facenet model was chosen as the backbone network for our fine-tuned model due to its outstanding performance. The fine-tuned model showed improved performance in distinguishing negative pairs compared to the pretrained model and had slightly better accuracy than human recognition.
UR - http://www.scopus.com/inward/record.url?scp=85174945168&partnerID=8YFLogxK
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U2 - 10.1109/ICCE-Taiwan58799.2023.10226692
DO - 10.1109/ICCE-Taiwan58799.2023.10226692
M3 - Conference contribution
AN - SCOPUS:85174945168
T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
SP - 75
EP - 76
BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Y2 - 17 July 2023 through 19 July 2023
ER -