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:	Faculty of Computer and Mathematical Sciences 2007
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1539/ http://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf

id	uitm-1539
recordtype	eprints
spelling	uitm-15392019-11-14T03:12:45Z http://ir.uitm.edu.my/id/eprint/1539/ Evaluation of facial detection using adaboost and morphology / Maisarah Aripin 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf Aripin, Maisarah (2007) Evaluation of facial detection using adaboost and morphology / Maisarah Aripin. 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	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
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
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2007
url	http://ir.uitm.edu.my/id/eprint/1539/ http://ir.uitm.edu.my/id/eprint/1539/1/TD_MAISARAH%20ARIPIN%20CS%2007_5%20P01.pdf
first_indexed	2023-09-18T22:46:00Z
last_indexed	2023-09-18T22:46:00Z
_version_	1777417229105627136

Evaluation of facial detection using adaboost and morphology / Maisarah Aripin

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