Skripsi

PENGENALAN WAJAH TAMPAK SAMPING MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

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Penilaian

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Face is one part of the human body that is used to recognize a person. Faces are used to recognize different people because faces have the highest differences in each person so they are often used in human facial recognition automation systems. In this study, the object used to recognize faces is the side face using the Convolutional Neural Network method. The data used in this study was obtained from DigiFace-1M as many as 100 people with a total of 25-40 facial images of each person's side. The total data collected was 3623 images and data were grouped in folders based on their labels. Based on the research that has been done, facial recognition of side views using the Convolutional Neural Network method was successfully developed, which resulted in the highest accuracy of 85.64%. These results were obtained using a model with the ResNet50 architecture. These results were obtained using a model with the ResNet50 architecture. This is because the data is quite limited to train the Convolutional Neural Network model. Keywords: Face Recognition, Side face, Convolutional Neural Network.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005244	T126192	T1261922023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1261922023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 97 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

658.4038 07

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)

Manajemen Informasi
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

ANUG

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