Real time face detection system

A face detection system is a computer application for automatically detecting a human face from digital image or video frame from a video source. This project is used web camera to capture the image in real time. This face detection system used Haar Classifier method to detect face and extract human...

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Main Author:	Amy Safrina, Mohd Ali
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/327/ http://umpir.ump.edu.my/id/eprint/327/ http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/327/2/Real%20time%20face%20detection%20system%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/327/3/Real%20time%20face%20detection%20system%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/327/4/Real%20time%20face%20detection%20system%20-%20References.pdf

id	ump-327
recordtype	eprints
spelling	ump-3272017-04-10T01:54:05Z http://umpir.ump.edu.my/id/eprint/327/ Real time face detection system Amy Safrina, Mohd Ali TK Electrical engineering. Electronics Nuclear engineering A face detection system is a computer application for automatically detecting a human face from digital image or video frame from a video source. This project is used web camera to capture the image in real time. This face detection system used Haar Classifier method to detect face and extract human face. Haar Classifier technique can detect human face very face and can achieve high detection accuracy. This system is build using Visual Studio C++ 8 edition and Opencv to setup the interface between web camera and computer. This system also used Graphical User Interface (GUI) to design client window. Besides that this system used Graphic Device Interface (GDI) library to select the interest region. This system can detect the face image and can automatically save the image. This system can be applied in the banking system to reduce the number of forgery 2009-05-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/327/2/Real%20time%20face%20detection%20system%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/327/3/Real%20time%20face%20detection%20system%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/327/4/Real%20time%20face%20detection%20system%20-%20References.pdf Amy Safrina, Mohd Ali (2009) Real time face detection system. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:40252&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Amy Safrina, Mohd Ali Real time face detection system
description	A face detection system is a computer application for automatically detecting a human face from digital image or video frame from a video source. This project is used web camera to capture the image in real time. This face detection system used Haar Classifier method to detect face and extract human face. Haar Classifier technique can detect human face very face and can achieve high detection accuracy. This system is build using Visual Studio C++ 8 edition and Opencv to setup the interface between web camera and computer. This system also used Graphical User Interface (GUI) to design client window. Besides that this system used Graphic Device Interface (GDI) library to select the interest region. This system can detect the face image and can automatically save the image. This system can be applied in the banking system to reduce the number of forgery
format	Undergraduates Project Papers
author	Amy Safrina, Mohd Ali
author_facet	Amy Safrina, Mohd Ali
author_sort	Amy Safrina, Mohd Ali
title	Real time face detection system
title_short	Real time face detection system
title_full	Real time face detection system
title_fullStr	Real time face detection system
title_full_unstemmed	Real time face detection system
title_sort	real time face detection system
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/327/ http://umpir.ump.edu.my/id/eprint/327/ http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/327/2/Real%20time%20face%20detection%20system%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/327/3/Real%20time%20face%20detection%20system%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/327/4/Real%20time%20face%20detection%20system%20-%20References.pdf
first_indexed	2023-09-18T21:52:24Z
last_indexed	2023-09-18T21:52:24Z
_version_	1777413856614678528

Real time face detection system

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