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Absensi Berdasarkan Pengenalan Wajah Melalui Webcam Menggunakan Metode Gray Level Co-Occurrence Matrix (GLCM) Dan Probalistic Neural Network (PNN)

Kusuma, Raga Mulia

Pengenalan wajah menjadi salah satu sistem biometrika yang paling banyak digunakan untuk identifikasi personal, misalnya pada penggunaan mesin absensi atau smartphone. Hal ini karena wajah merupakan salah satu biometrika yang paling umum digunakan untuk mengenali seseorang. Pada penelitian ini akan dibuat sistem absensi berdasarkan pengenalan wajah melalui webcam menggunakan metode gray level co-occurrence matrix (glcm) dan probalistic neural network (pnn) yang mana sistem ini berhasil mengenali wajah manusia dengan tingkat probabilitas 89%.
Informasi Repositori
Jenis
Thesis
Detail Information
Tahun
2023
Bahasa
id
Last Updated
2024-10-17T03:13:18Z
Subjects / Keywords
QA75 Electronic computers. Computer science
Akses Dokumen
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Hak Cipta & Lisensi

Konten ini bersumber dari Repositori Institusi Kemendikdasmen.

Hak cipta dimiliki oleh institusi pencipta karya. Dilisensikan di bawah Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

Metadata di-harvest melalui protokol OAI-PMH sesuai SK Sekjen Kemendikbudristek No. 18/M/2022.

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