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Journals
International Journal of Mathematics and Computer in Engineering
Volume 2 (2024): Issue 1 (June 2024)
Open Access
Gender determination from periocular images using deep learning based EfficientNet architecture
Viji B Nambiar
Viji B Nambiar
,
Bojan Ramamurthy
Bojan Ramamurthy
and
Pundikala Veeresha
Pundikala Veeresha
| Oct 31, 2023
International Journal of Mathematics and Computer in Engineering
Volume 2 (2024): Issue 1 (June 2024)
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Article Category:
Original Study
Published Online:
Oct 31, 2023
Page range:
59 - 70
Received:
Jul 22, 2023
Accepted:
Sep 08, 2023
DOI:
https://doi.org/10.2478/ijmce-2024-0005
Keywords
CNN
,
EfficientNetB1
,
periocular
,
fine-tuning
© 2024 Viji B Nambiar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Periocular region.
Fig. 2
CNN architecture.
Fig. 3
Stem layer for EfficientNet-B1 [19].
Fig. 4
Architecture for EfficientNet-B1 [19].
Fig. 5
Modules for EfficientNet-B1 [19].
Fig. 6
A subset of the dataset.
Fig. 7
Confusion matrix for CNN model built from scratch.
Fig. 8
Model accuracy for CNN built from scratch.
Fig. 9
Model loss for CNN built from scratch.
Fig. 10
Confusion matrix for CNN model built from scratch.
Fig. 11
Model accuracy for EfficientNetB1.
Fig. 12
Model loss for EfficientNetB1.
Classification report for fine-tuned EfficientNetB1.
Label
Precision
Recall
F1-score
1 (Male)
0.97
0.99
0.98
0 (Female)
0.99
0.97
0.98
Classification report for CNN model built from scratch.
Label
Precision
Recall
F1-score
1 (Male)
0.94
0.96
0.95
0 (Female)
0.95
0.93
0.94