PENGENALAN WAJAH BERDASARKAN IDENTIFIKASI MATA DAN MULUT MENGGUNAKAN ALGORITMA FISHERFACE

DURI, ADES HARAFI and Zarkasi, Ahmad and Exaudi, Kemahyanto (2022) PENGENALAN WAJAH BERDASARKAN IDENTIFIKASI MATA DAN MULUT MENGGUNAKAN ALGORITMA FISHERFACE. Undergraduate thesis, Sriwijaya University.

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Abstract

Deteksi Wajah merupakan tahap awal sebelum melakukan proses Pengenalan Wajah. Manusia memiliki ciri dan bentuk wajah yang berbeda-beda. Seperti bentuk mata dan mulut. Tujuan penelitian ini melakukan Identifikasi ciri yang diimplementasikan agar sistem lebih mudah dalam proses pengenalan wajah. Algoritma Fisherface digunakan dalam proses Pengenalan Wajah. Raspberry Pi digunakan untuk tahap Deteksi Wajah, Identifikasi Ciri Mata dan Mulut, dan Pengenalan Wajah. Mikrokontroller OpenCR digunakan untuk mengatur gerak Motor DC dan Servo pada Mobile Robot. Untuk mendapatkan frame wajah digunakan Pi Camera yang terpasang pada dua buah Motor Servo. Mobile Robot dapat bergerak maju ketika wajah dikenali dengan rentang nilai 140-160 pixel. Hasil yang telah didapat menunjukkan bahwa algoritma Fisherface berhasil mengenali wajah dengan persentase Akurasi sebesar 90%, Presisi 100%, Recall 80% dan F-1 Score 80%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fisherface, Deteksi Wajah, Identifikasi Wajah, Pengenalan Wajah, Mobile Robot.
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T59.7-59.77 Human engineering in industry. Man-machine systems
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Ades Harafi Duri
Date Deposited:	15 Dec 2022 05:37
Last Modified:	15 Dec 2022 05:37
URI:	http://repository.unsri.ac.id/id/eprint/83752

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