FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS)

ABU BAKAR, MUHAMMAD HANIS (2015) FACE RECOGNITION METHOD USING GABOR WAVELETS (GWS). [Final Year Project] (Unpublished)

[thumbnail of 7_FINAL REPORT.pdf]
Preview
PDF
7_FINAL REPORT.pdf

Download (1MB) | Preview

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
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Engineering > Electrical and Electronic
Depositing User: Mr 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

Actions (login required)

View Item
View Item