Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri

Facial expression recognition is designed to identify the customer's satisfaction when they are being served at the counter. Facial Expression Recognition techniques using Discrete Wavelet Transform (DWT) coefficient and the values of mean (M) and moment (m) that computed from DWT has been used...

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Main Author: Yaseri, Nur Liyana Asmira
Format: Thesis
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/64020/1/64020.PDF
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id my-uitm-ir.64020
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spelling my-uitm-ir.640202023-08-28T07:31:07Z Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri 2014 Yaseri, Nur Liyana Asmira Facial expression recognition is designed to identify the customer's satisfaction when they are being served at the counter. Facial Expression Recognition techniques using Discrete Wavelet Transform (DWT) coefficient and the values of mean (M) and moment (m) that computed from DWT has been used as the features that serves as input to a Support Vector Machine (SVM). SVM acts as a classifier which classifes the facial expressions either as happy or not happy. The research methodology involves several phases which are preliminary study, analysis of literature, design of application, development of application, and implementation and testing and documentation. The dataset that have been used are 210 images from Cohn-Kanade database and 600 images from personal data that consists of happy and not happy expressions. Then, 40% of the images were used as testing input while the other 60% were used as training input. These images are manually cropped to obtain the precise face shape. The project is a stand-alone and developed using JAVA and MATLAB. The best accuracy rate obtained is 79.76% when the SVM is trained on eyes region for Cohn-Kanade database. 2014 Thesis https://ir.uitm.edu.my/id/eprint/64020/ https://ir.uitm.edu.my/id/eprint/64020/1/64020.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Ibrahim, Zaidah (Assoc. Prof.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ibrahim, Zaidah (Assoc. Prof.)
description Facial expression recognition is designed to identify the customer's satisfaction when they are being served at the counter. Facial Expression Recognition techniques using Discrete Wavelet Transform (DWT) coefficient and the values of mean (M) and moment (m) that computed from DWT has been used as the features that serves as input to a Support Vector Machine (SVM). SVM acts as a classifier which classifes the facial expressions either as happy or not happy. The research methodology involves several phases which are preliminary study, analysis of literature, design of application, development of application, and implementation and testing and documentation. The dataset that have been used are 210 images from Cohn-Kanade database and 600 images from personal data that consists of happy and not happy expressions. Then, 40% of the images were used as testing input while the other 60% were used as training input. These images are manually cropped to obtain the precise face shape. The project is a stand-alone and developed using JAVA and MATLAB. The best accuracy rate obtained is 79.76% when the SVM is trained on eyes region for Cohn-Kanade database.
format Thesis
qualification_level Bachelor degree
author Yaseri, Nur Liyana Asmira
spellingShingle Yaseri, Nur Liyana Asmira
Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
author_facet Yaseri, Nur Liyana Asmira
author_sort Yaseri, Nur Liyana Asmira
title Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
title_short Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
title_full Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
title_fullStr Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
title_full_unstemmed Facial expression recognition using Discrete Wavelet Transform for customer satisfaction / Nur Liyana Asmira Yaseri
title_sort facial expression recognition using discrete wavelet transform for customer satisfaction / nur liyana asmira yaseri
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/64020/1/64020.PDF
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