Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin

Nowadays, hairstyle is one of the fashions that can bring the image of the face and whole attire. One of way to choose a suitable hairstyle is by considering the shape of the face. If the hairstyle been form perfectly but does not suitable with the face shape still could make a terrible image. Based...

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Main Author:	Nordin, Muhammad Azizi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Programming languages (Electronic computers) Scanning systems
Online Access:	https://ir.uitm.edu.my/id/eprint/14562/1/14562.pdf
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id	my-uitm-ir.14562
record_format	uketd_dc
spelling	my-uitm-ir.145622021-10-08T04:18:08Z Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin 2015 Nordin, Muhammad Azizi Programming languages (Electronic computers) Engineering mathematics. Engineering analysis Scanning systems Nowadays, hairstyle is one of the fashions that can bring the image of the face and whole attire. One of way to choose a suitable hairstyle is by considering the shape of the face. If the hairstyle been form perfectly but does not suitable with the face shape still could make a terrible image. Based on observation, 61 percent of people did not know their own face shape. This project is built to help the user to find the face shape by applying modern technology which is image processing. This project also provides suggestion of suitable hairstyle base on the face shape. The technique will be used is Canny edge detection and the platform will be MATLAB. The technique is chosen because of its accuracy in detecting the edge of image than using other techniques which are Sobel, Prewitt and Robert. Development method that suitable for this research project which has six phases is agile method because of its flexibility in developing a project. The focus in this technique is the Edge detection which needed to find the image information to determine the shape of the face. As a conclusion, this research would give some benefits in image processing area. Other researchers can make some enhancement in the future in order to improve this research. The system can be improved by better input and output of the project and also develop for mobile application for the future work. 2015 Thesis https://ir.uitm.edu.my/id/eprint/14562/ https://ir.uitm.edu.my/id/eprint/14562/1/14562.pdf text en public other degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Programming languages (Electronic computers) Programming languages (Electronic computers) Scanning systems
spellingShingle	Programming languages (Electronic computers) Programming languages (Electronic computers) Scanning systems Nordin, Muhammad Azizi Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
description	Nowadays, hairstyle is one of the fashions that can bring the image of the face and whole attire. One of way to choose a suitable hairstyle is by considering the shape of the face. If the hairstyle been form perfectly but does not suitable with the face shape still could make a terrible image. Based on observation, 61 percent of people did not know their own face shape. This project is built to help the user to find the face shape by applying modern technology which is image processing. This project also provides suggestion of suitable hairstyle base on the face shape. The technique will be used is Canny edge detection and the platform will be MATLAB. The technique is chosen because of its accuracy in detecting the edge of image than using other techniques which are Sobel, Prewitt and Robert. Development method that suitable for this research project which has six phases is agile method because of its flexibility in developing a project. The focus in this technique is the Edge detection which needed to find the image information to determine the shape of the face. As a conclusion, this research would give some benefits in image processing area. Other researchers can make some enhancement in the future in order to improve this research. The system can be improved by better input and output of the project and also develop for mobile application for the future work.
format	Thesis
qualification_name	other
qualification_level	Bachelor degree
author	Nordin, Muhammad Azizi
author_facet	Nordin, Muhammad Azizi
author_sort	Nordin, Muhammad Azizi
title	Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
title_short	Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
title_full	Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
title_fullStr	Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
title_full_unstemmed	Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin
title_sort	face shape recognition for hairstyle recommendation using matlab / muhammad azizi nordin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/14562/1/14562.pdf
_version_	1783733292204294144

Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin

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