PENGENALAN EKSPRESI MULTI WAJAH SECARA REAL TIME MENGGUNAKAN METODE PENERAPAN MULTICLASS SVM

ZAHIR, ALI and Fachrurrozi, Muhammad and Rachmatullah, M Naufal (2022) PENGENALAN EKSPRESI MULTI WAJAH SECARA REAL TIME MENGGUNAKAN METODE PENERAPAN MULTICLASS SVM. Undergraduate thesis, Sriwijaya University.

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Abstract

Everyone's face shape is different. It is this difference that creates an identity for every human being. The face is a 2-dimensional object that is described using a collection of various lights, poses, and facial expressions that have been identified from 2-dimensional facial images. There is a great need for every intelligent machine that can identify faces, starting with security systems that deal with crime and related offenses and other automated tools, especially crime, personal security and privacy concerns. Detection of facial expressions in real time, carried out using a webcam camera using the Support Vector Machines (SVM) method and is already available on open-cv using extracts from facial expression images. Expressions that are intensified in this study are sad, happy, afraid, angry, and neutral. The survey has found that the average accuracy is 70.47%, the precision accuracy value has an average of 70.86%, and the average recall value is 69.57%

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengenalan Ekspresi Wajah, Real Time, Webcamera, Support Vector Machines
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Ali Zahir
Date Deposited:	27 Sep 2022 02:30
Last Modified:	27 Sep 2022 02:30
URI:	http://repository.unsri.ac.id/id/eprint/79946

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