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FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)

ABU BAKAR, MUHAMMAD HANIS (2015) FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS). IRC, Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

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.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 30 Sep 2015 09:30
Last Modified: 25 Jan 2017 09:35
URI: http://utpedia.utp.edu.my/id/eprint/15580

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