Evaluation of facial detection using adaboost and morphology / Maisarah Aripin

Face detection is a very important process and become part of face recognition. People are slightly aware of its significant and sometimes camiot really determine a face in an image before recognize it. This situation usually happened to the beginner. In recent years, there are a lot of researche...

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Main Author:	Aripin, Maisarah
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Electronic Computers Computer Science
Online Access:	https://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf
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id	my-uitm-ir.1539
record_format	uketd_dc
spelling	my-uitm-ir.15392019-11-14T03:12:45Z Evaluation of facial detection using adaboost and morphology / Maisarah Aripin 2007 Aripin, Maisarah Electronic Computers. Computer Science Face detection is a very important process and become part of face recognition. People are slightly aware of its significant and sometimes camiot really determine a face in an image before recognize it. This situation usually happened to the beginner. In recent years, there are a lot of researches on face detection method. Thus, a lot of techniques have been discovered in order to get a better technique and improvement in this area of study. Each of those techniques has its own effectiveness in face detection, For example knowledge based method that able to work well for face localization in uncluttered background. Beside that, there is also another method that has the capability to run in real time such as Adaboost. However, this research is only focusing on two techniques, which are Adaboost and Morphology. Both of these algorithms are capable in face detection but serve up in different way. Thus, the objective of this research is to evaluate face detection tool using Adaboost and Morphology and to find out the effectiveness of both algorithms. The system that has been used to test the images is Kihwan's Face Detector. Analysis shows that this system is good in detecting large size images using Adaboost After sizes of the images have been standardizing to become 400 x 300 pixels, it shows that this system can performs better by using Morphology as the technique. Faculty of Computer and Mathematical Sciences 2007 Thesis https://ir.uitm.edu.my/id/eprint/1539/ https://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science
spellingShingle	Electronic Computers Computer Science Aripin, Maisarah Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
description	Face detection is a very important process and become part of face recognition. People are slightly aware of its significant and sometimes camiot really determine a face in an image before recognize it. This situation usually happened to the beginner. In recent years, there are a lot of researches on face detection method. Thus, a lot of techniques have been discovered in order to get a better technique and improvement in this area of study. Each of those techniques has its own effectiveness in face detection, For example knowledge based method that able to work well for face localization in uncluttered background. Beside that, there is also another method that has the capability to run in real time such as Adaboost. However, this research is only focusing on two techniques, which are Adaboost and Morphology. Both of these algorithms are capable in face detection but serve up in different way. Thus, the objective of this research is to evaluate face detection tool using Adaboost and Morphology and to find out the effectiveness of both algorithms. The system that has been used to test the images is Kihwan's Face Detector. Analysis shows that this system is good in detecting large size images using Adaboost After sizes of the images have been standardizing to become 400 x 300 pixels, it shows that this system can performs better by using Morphology as the technique.
format	Thesis
qualification_level	Bachelor degree
author	Aripin, Maisarah
author_facet	Aripin, Maisarah
author_sort	Aripin, Maisarah
title	Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
title_short	Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
title_full	Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
title_fullStr	Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
title_full_unstemmed	Evaluation of facial detection using adaboost and morphology / Maisarah Aripin
title_sort	evaluation of facial detection using adaboost and morphology / maisarah aripin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf
_version_	1783733028503158784

Evaluation of facial detection using adaboost and morphology / Maisarah Aripin

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