Skripsi

SISTEM PENGENALAN WAJAH SECARA REAL TIME MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DAN SUPPORT VECTOR MACHINE

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Penilaian

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Face recognition system is a branch of biometric science that is useful for identifying someone based on their physical characteristics, in this case their face. In general, face recognition system consists of three stages, face detection, feature extraction and face recognition. In this study Multi Task Cascade Convolutional Neural Network was used for the face detection process, then VGGFace for the feature extraction process and Support Vector Machine for the classification process. The system is trained and tested using 1000 data from 10 different people with a comparison of 8: 2 training and test data. From the results of the system testing of the data, the system accuracy is 98% with 38s processing time. Then from the results of realtime system testing, the accuracy of the system is 96.67% with an average processing time of 0.155s per data.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002757	T39709	T397092021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T397092021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xvii, 103 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.120 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Sistem Analisa Dan Desain Perangkat Lunak
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

Win

Other version/related

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