JurTI (JURNAL TEKNOLOGI INFORMASI)
Vol 2, No 2 (2018): Desember 2018

ANALISIS IDENTIFIKASI WAJAH MENGGUNAKAN GABOR FILTER DAN SKIN MODEL

Khairunnisa, Khairunnisa (Unknown)
Rismayanti, Rismayanti (Unknown)
Alhari, Rully (Unknown)



Article Info

Publish Date
01 Feb 2019

Abstract

Abstract - Identification of faces in digital images is a complex process and requires a combination of various methods. The complexity of facial identification is increasing along with the increasing need for high accuracy of facial images. This research analyzes the combination of Skin Color Model and Gabor Filters in the process of identifying facial identities in digital images. The Skin Color Model method is used to separate the face area from facial images based on skin color values on facial images. The face area is then extracted using Gabor Filter. This research resulted in the highest accuracy was 93.6349%. and the lowest accuracy is around 82.45%. The implementation of a combination of Skin Color Models and Gabor Filters can be an alternative method of identifying faces in digital images. Keywords - Digital Image, Face Identification, Skin Color Model, Gabor Filter. 

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Journal Info

Abbrev

jurti

Publisher

Subject

Computer Science & IT

Description

This journal contains researchers' scientific papers related to computer science in the fields of informatics engineering, information technology, computer systems and information systems. This journal is published twice a year, namely June and December. This journal is managed by the Informatics ...