Skripsi

PENGENALAN WAJAH DARI BERBAGAI SUDUT MENGGUNAKAN METODE SELF ORGANIZING MAP

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Penilaian

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Human face recognition has become a challenge for researchers to facilitate the human-machine interface. In this study, the Self Organizing Map method was used to recognize 45 human faces who have different poses. Before the recognition process, the preprocessing stage is carried out on the input image, it is face detection process by using the Viola Jones method and the greyscaling image process which aims to produce the image of gray, so that the image is more easily processed and produces feature better. The Self Organizing Map method is used in the face recognition process. Based on the evaluation carried out on the Self Organizing Map method for recognition of human facial using the CAS Peal dataset of 225 images as the training dataset and 90 images as the test dataset, it gets an average accuracy of 98% which is calculated using confusion matrix. Based on these results, it shows that the Self Organizing Map method has good performance.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000073	T39273	T392732020	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T392732020

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2020

Collation

xiv, vi-2 hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

611.907

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Teknik Pengenalan Wajah

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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