ADDITIVE ANGULAR MARGIN LOSS UNTUK PENGENALAN CITRA WAJAH BERMASKER

REYALDI, FERZA and Fachrurrozi, Muhammad and Rizqie, M. Qurhanul (2023) ADDITIVE ANGULAR MARGIN LOSS UNTUK PENGENALAN CITRA WAJAH BERMASKER. Undergraduate thesis, Sriwijaya University.

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Abstract

Pemakaian masker wajah yang diberlakukan saat Pandemi Covid-19 menyebabkan oklusi parsial pada fitur-fitur wajah. Hal ini berakibat identitas seseorang sulit dikenali oleh sistem pengenalan. Penelitian ini akan melakukan pengenalan wajah bermasker menggunakan Convolutional Neural Network (CNN) dan additive angular margin loss. Additive angular margin loss digunakan untuk mendapatkan fitur yang sangat diskriminatif untuk pengenalan wajah. Dataset yang digunakan pada penelitian ini adalah Real-World Masked Face Dataset (RMFD). Penggunaan additive angular margin loss menunjukkan peningkatan akurasi terhadap model pengenalan wajah. Hasil penelitian ini mendapat nilai akurasi data latih lebih besar 36,33% dan akurasi data validasi lebih besar 12,65% dibandingkan model CNN tanpa menggunakan additive angular margin loss.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengenalan Wajah Bermasker, Convolutional Neural Network, Additive Angular Margin Loss, Real-World Masked Face Dataset
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Ferza Reyaldi
Date Deposited:	31 Jan 2023 04:59
Last Modified:	31 Jan 2023 04:59
URI:	http://repository.unsri.ac.id/id/eprint/87959

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