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FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)

Facial features can be used to recognize and identify the characteristics of a person. In this project, Gabor Wavelet (GW) based recognition technique is proposed whereby the GW is used to extract the facial feature of a person. The face recognition system consist of four (4) major stages namely ima...

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Bibliographic Details
Main Author: ABU BAKAR, MUHAMMAD HANIS
Format: Final Year Project
Language:English
Published: IRC 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/15580/1/7_FINAL%20REPORT.pdf
http://utpedia.utp.edu.my/15580/
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spelling my-utp-utpedia.155802017-01-25T09:35:52Z http://utpedia.utp.edu.my/15580/ FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS) ABU BAKAR, MUHAMMAD HANIS TK Electrical engineering. Electronics Nuclear engineering Facial features can be used to recognize and identify the characteristics of a person. In this project, Gabor Wavelet (GW) based recognition technique is proposed whereby the GW is used to extract the facial feature of a person. The face recognition system consist of four (4) major stages namely image preprocessing, feature extraction, matching technique and classification technique. In feature extraction stage, the input images are converted into grayscale image prior to applying the 2D GWs. The resulting feature vectors are used to test the similarity score with the feature vectors of the facial image in the database. IRC 2015-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15580/1/7_FINAL%20REPORT.pdf ABU BAKAR, MUHAMMAD HANIS (2015) FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS). IRC, Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
ABU BAKAR, MUHAMMAD HANIS
FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
description Facial features can be used to recognize and identify the characteristics of a person. In this project, Gabor Wavelet (GW) based recognition technique is proposed whereby the GW is used to extract the facial feature of a person. The face recognition system consist of four (4) major stages namely image preprocessing, feature extraction, matching technique and classification technique. In feature extraction stage, the input images are converted into grayscale image prior to applying the 2D GWs. The resulting feature vectors are used to test the similarity score with the feature vectors of the facial image in the database.
format Final Year Project
author ABU BAKAR, MUHAMMAD HANIS
author_facet ABU BAKAR, MUHAMMAD HANIS
author_sort ABU BAKAR, MUHAMMAD HANIS
title FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
title_short FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
title_full FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
title_fullStr FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
title_full_unstemmed FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)
title_sort face recognition method using gabor wavelets (gws)
publisher IRC
publishDate 2015
url http://utpedia.utp.edu.my/15580/1/7_FINAL%20REPORT.pdf
http://utpedia.utp.edu.my/15580/
_version_ 1739832147485655040
score 13.214268

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