Skripsi

DETEKSI OBJEK PADA WAJAH BERUPA, MATA, HIDUNG, DAN MULUT DENGAN METODE VIOLA-JONES

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Penilaian

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Building a computational model to recognize faces is a complex task because faces are complex multidimensional visual models. This study presents a method for detecting objects on the face such as eyes, nose, and mouth using the viola-jones method. There are 3 stages of face detection using the Viola-Jones method, the first is the stage of determining the haar feature, the second is the stage of calculating the Integral Image, and the last is determining the cascade classifier. This study uses 100 datasets in the form of images with 250 x 250 pixels, from 100 datasets used the success rate of this method is 93.25%. The viola-jones method does have the advantage of being precise compared to other face detection methods with an accuracy of 90.9%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107004712	T57811	T578112021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T578112021

Publisher

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

Collation

ix, 39 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

005.110 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Komputer
Pemrograman-Metode Viola-Jones

Specific Detail Info

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Statement of Responsibility

DS

Other version/related

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