Text

PENGENALAN WAJAH TERSAMAR MENGGUNAKAN CONVOLUTION NEURAL NETWORK DAN SUPPORT VECTOR MACHINE

---

Penilaian

---

In recent decades, facial recognition systems have been the subject of frequent research in the field of computer vision. The system has been used in several fields, such as smartphones for face locking, immigration. A disguised face is a face that cannot be recognized by others. For example, criminals may intentionally try to hide their identity by using external disguise accessories (such as sunglasses or masks). The deep learning method used in this research is Convolutional Neural Networks (CNN) and face classification using Support Vector Machine (SVM). The system uses 1000 data consisting of 10 people with a training and testing ratio of 8:2. From the results of testing the system on the data, the accuracy is 98.4%, precision is 0.96, recall is 0.965 and F1-score is 0.961.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2207004961	T82362	T823622022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T823622022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xvii, 77 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.307

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment