Perancangan model pengenalan wajah dengan haar cascade classifier = Design of face recognition model using haar cascade classifier

Wirahman, Eggy (2022) Perancangan model pengenalan wajah dengan haar cascade classifier = Design of face recognition model using haar cascade classifier. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Penelitian ini bertujuan untuk membuat sistem pengenalan wajah dengan bantuan machine learning untuk membuat model yang akan diimplementasikan dalam sistem akses. Library OpenCV digunakan dalam penelitian ini sebab banyak sekali fungsi-fungsi pengenalan wajah yang terdapat dalam library OpenCV sehingga mempermudah penelitian untuk membuat pengenal wajah berbasis machine learning ini. Penelitian ini menunjukkan bahwa model pengenalan wajah yang dibuat memiliki akurasi sebesar 89.4%, dengan sensitivitas sebesar 95.98%, dan spesifisitas sebesar 32.7% serta model enhanced training yang dibuat memiliki akurasi sebesar 43%, sensitivitas sebesar 8.92%, dan spesifisitas sebesar 47.3%./ This research aims to create a facial recognition system with the help of machine learning to create a model which will implemented in the access systems. The OpenCV libraries ZHre used in this research as there lots of facial recognition and processing functions which will render the research for designing machine learning based face recRgnition easier. The research shows that the model formed has an accuracy of 89.4%, a sensitivity of 95.98%, a specificity of 32.7% and the enhanced training model has an accuracy of 43%, a sensitivity of 8.92%, and a specificity of 47.3%.

Item Type: Thesis (Bachelor)
Creators:
CreatorsNIMEmail
Wirahman, EggyNIM01032180023eggy910@gmail.com
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorJunita, JunitaNIDN0302068401junita.fti@uph.edu
Uncontrolled Keywords: Machine learning; Cascade classifiers; OpenCV; Raspberry Pi
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering
Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering
Depositing User: Users 23371 not found.
Date Deposited: 25 Feb 2022 07:36
Last Modified: 25 Feb 2022 07:36
URI: http://repository.uph.edu/id/eprint/46782

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