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...
| Main Author: | |
|---|---|
| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system.pdf |
| _version_ | 1825808728009474048 |
|---|---|
| author | Amy Safrina, Mohd Ali |
| author_facet | Amy Safrina, Mohd Ali |
| author_sort | Amy Safrina, Mohd Ali |
| collection | UMP |
| 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 |
| first_indexed | 2024-03-06T11:33:57Z |
| format | Undergraduates Project Papers |
| id | UMPir327 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:33:57Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | UMPir3272023-11-23T01:06:20Z 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 pdf en http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system.pdf Amy Safrina, Mohd Ali (2009) Real time face detection system. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Amy Safrina, Mohd Ali Real time face detection system |
| title | 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_short | Real time face detection system |
| title_sort | real time face detection system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/327/1/Real%20time%20face%20detection%20system.pdf |
| work_keys_str_mv | AT amysafrinamohdali realtimefacedetectionsystem |