Pengenalan Wajah Berbasis Template menggunakan Gambar Asli

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Published: May 31, 2021
DOI: https://doi.org/10.52005/fidelity.v3i2.95
(Abstract view) : 143
(PDF download) : 185
Keywords:
Kuat, Histogram, Eigenfaces, Eigenvalues, ROC, Recognition, ORL, PCA, LDA

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Muhamad Rizal
R&D PT. Haleyora Power Jakarta

Abstract

Algoritma pengenalan wajah berdasarkan pendekatan pemerataan histogram diusulkan dalam penelitian ini. Pengenalan wajah menggunakan pemerataan Histogram dan eigenfaces memberikan hasil yang lebih unggul daripada teknik lama, seperti LDA dan PCA, dengan menormalkan iluminasi wajah dan menghilangkan perbedaan untuk ekstraksi fitur yang berbeda. Prosedur ini menghasilkan hasil yang lebih akurat dan dapat diandalkan. Setelah penelitian, ROC dan hasilnya dikontraskan. Algoritma diuji dan diverifikasi pada database ORL dan foto-foto yang dikumpulkan di luar database. Ini adalah pertama kalinya strategi ini digunakan, dan menghasilkan hasil yang lebih cocok bahkan ketika gambar diperoleh di luar database (ORL).

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How to Cite
[1]
M. Rizal, “Pengenalan Wajah Berbasis Template menggunakan Gambar Asli”, Fidelity, vol. 3, no. 2, pp. 41-45, May 2021.
Issue
Vol 3 No 2 (2021): Edition for May 2021
Section
Articles

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Received 2021-03-20
Accepted 2022-06-02
Published 2021-05-31

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