Published: 2021-12-30
Penerapan Face Recognition pada Aplikasi Akademik Online
DOI: 10.35870/jtik.v5i4.244
Budi Tri Utomo, Iskandar Fitri, Eri Mardiani
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Budi Tri Utomo:
Nasional University
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Iskandar Fitri:
Nasional University
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Eri Mardiani:
Nasional University
Abstract
In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The image used is 480 x 680 pixels with a .jpg extension in the form of an RGB image which will be converted into a Grayscale image., to make it easier to calculate the histogram value of each face that will be recognized. With a modeling system like this it is hope to make it easy for user to log into online academics.
Keywords
Face Recognition; Haar Cascade Clasifier; Local Binary Pattern Histogram; Online Akademic; OpenCV
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 4 (2021)
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Section: Computer & Communication Science
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Published: 2021-12-30
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License: CC BY 4.0
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Copyright: © 2021 Authors
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DOI: 10.35870/jtik.v5i4.244
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Budi Tri Utomo, Nasional University
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