Real time face detection system

Amy Safrina, Mohd Ali (2009) Real time face detection system. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang.

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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

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009, SV: Mohd Zamri Bin Ibrahim
Uncontrolled Keywords: Human face recognition (Computer science); Image processing; Biometric identification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Rohaida Idaris
Date Deposited: 02 Apr 2010 06:39
Last Modified: 11 Jun 2021 07:41
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