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

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Penilaian

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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%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003986	T79946	T799462022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T799462022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 85 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.360 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Program untuk Komputer Personal

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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