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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Bibliographic Details
Main Author:	Nordin, Muhammad Azizi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Programming languages (Electronic computers)
Online Access:	http://ir.uitm.edu.my/id/eprint/14562/ http://ir.uitm.edu.my/id/eprint/14562/1/TD_MUHAMMAD%20AZIZI%20NORDIN%20CS%2015_5.pdf

id	uitm-14562
recordtype	eprints
spelling	uitm-145622016-08-19T01:36:57Z http://ir.uitm.edu.my/id/eprint/14562/ Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin Nordin, Muhammad Azizi Programming languages (Electronic computers) 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/14562/1/TD_MUHAMMAD%20AZIZI%20NORDIN%20CS%2015_5.pdf Nordin, Muhammad Azizi (2015) Face shape recognition for hairstyle recommendation using MATLAB / Muhammad Azizi Nordin. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Programming languages (Electronic computers)
spellingShingle	Programming languages (Electronic computers) 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
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
publishDate	2015
url	http://ir.uitm.edu.my/id/eprint/14562/ http://ir.uitm.edu.my/id/eprint/14562/1/TD_MUHAMMAD%20AZIZI%20NORDIN%20CS%2015_5.pdf
first_indexed	2023-09-18T22:51:54Z
last_indexed	2023-09-18T22:51:54Z
_version_	1777417600280559616

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

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