Face detection of thermal images based on color image processing

This thesis examines and implements the methods for face detection of thermal images based on color image processing. The overall work describes on how thermal images can enhance the performance of thermal scanner used in the International Airport. In order to examine all aspects of the face detecti...

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Main Author:	Nur Farahana , Mat Khairi
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/7673/ http://umpir.ump.edu.my/id/eprint/7673/ http://umpir.ump.edu.my/id/eprint/7673/1/NUR_FARAHANA_BT_MAT_KHAIRI.PDF

id	ump-7673
recordtype	eprints
spelling	ump-76732015-03-03T09:37:25Z http://umpir.ump.edu.my/id/eprint/7673/ Face detection of thermal images based on color image processing Nur Farahana , Mat Khairi TK Electrical engineering. Electronics Nuclear engineering This thesis examines and implements the methods for face detection of thermal images based on color image processing. The overall work describes on how thermal images can enhance the performance of thermal scanner used in the International Airport. In order to examine all aspects of the face detection with a suspicion of fever, the task has been divided into two consecutive steps: Firstly, Color detection for identifying hot temperature regions on skins and secondly, face detection with no identification. Using a thermal image model for the color region, the possible regions in which faces can be narrow down and could be found rationally. Furthermore, trying to do identification on a region that does not include a face is inefficient. Therefore, using a faster and less complex algorithm to do the general face detection is a faster way to identify faces. In this project, color threshold and mapping method are used in order to detect faces. . In particular to come up with methods that will help increase the chances of correct matches, I propose to apply method focusing on color detection that will detect the higher temperature on human's face using image processing. It focuses on thermal image based method which implemented with MATLAB software. Consequently, in order to successfully be able to identify individuals correctly, advance image processing techniques will be used to enhance the detection rate and efficiency by developing graphical user interface (GUI) in MATLAB to achieve better recognition rate. Finally, all the different steps are merged into an integrated system for full face detection. The system is evaluated based on accuracy and performance. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7673/1/NUR_FARAHANA_BT_MAT_KHAIRI.PDF Nur Farahana , Mat Khairi (2012) Face detection of thermal images based on color image processing. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77228&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nur Farahana , Mat Khairi Face detection of thermal images based on color image processing
description	This thesis examines and implements the methods for face detection of thermal images based on color image processing. The overall work describes on how thermal images can enhance the performance of thermal scanner used in the International Airport. In order to examine all aspects of the face detection with a suspicion of fever, the task has been divided into two consecutive steps: Firstly, Color detection for identifying hot temperature regions on skins and secondly, face detection with no identification. Using a thermal image model for the color region, the possible regions in which faces can be narrow down and could be found rationally. Furthermore, trying to do identification on a region that does not include a face is inefficient. Therefore, using a faster and less complex algorithm to do the general face detection is a faster way to identify faces. In this project, color threshold and mapping method are used in order to detect faces. . In particular to come up with methods that will help increase the chances of correct matches, I propose to apply method focusing on color detection that will detect the higher temperature on human's face using image processing. It focuses on thermal image based method which implemented with MATLAB software. Consequently, in order to successfully be able to identify individuals correctly, advance image processing techniques will be used to enhance the detection rate and efficiency by developing graphical user interface (GUI) in MATLAB to achieve better recognition rate. Finally, all the different steps are merged into an integrated system for full face detection. The system is evaluated based on accuracy and performance.
format	Undergraduates Project Papers
author	Nur Farahana , Mat Khairi
author_facet	Nur Farahana , Mat Khairi
author_sort	Nur Farahana , Mat Khairi
title	Face detection of thermal images based on color image processing
title_short	Face detection of thermal images based on color image processing
title_full	Face detection of thermal images based on color image processing
title_fullStr	Face detection of thermal images based on color image processing
title_full_unstemmed	Face detection of thermal images based on color image processing
title_sort	face detection of thermal images based on color image processing
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/7673/ http://umpir.ump.edu.my/id/eprint/7673/ http://umpir.ump.edu.my/id/eprint/7673/1/NUR_FARAHANA_BT_MAT_KHAIRI.PDF
first_indexed	2023-09-18T22:04:32Z
last_indexed	2023-09-18T22:04:32Z
_version_	1777414619288043520

Face detection of thermal images based on color image processing

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