DESAIN DAN IMPLEMENTASI SISTEM FACE RECOGNITION MENGGUNAKAN WEBCAM UNTUK PENGAMAN PINTU DENGAN METODE PRINCIPAL COMPONENT ANALYSIS
| Main Author: | MONIKA, SINAR |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2017
|
| Subjects: | |
| Online Access: |
http://eprints.polsri.ac.id/4516/1/file%201.pdf http://eprints.polsri.ac.id/4516/2/file%202.pdf http://eprints.polsri.ac.id/4516/3/file%203.pdf http://eprints.polsri.ac.id/4516/4/file%204.pdf http://eprints.polsri.ac.id/4516/5/file%205.pdf http://eprints.polsri.ac.id/4516/6/file%206.pdf http://eprints.polsri.ac.id/4516/7/file%207.pdf http://eprints.polsri.ac.id/4516/8/Lampiran%20-%20Mainform.pdf http://eprints.polsri.ac.id/4516/ |
Daftar Isi:
- Face Recognition is to compare the input image with the database face and find the face that best suits the input image to be said to be recognized or not. Developed using Visual Studio Software and using arduinouno in order to identify the face that suits the database in realtime. There are 3 house owner in the database where each occupant has 30 facial image databases retrieved from webcam camera from front view, without using accessories, and without expression. Because the dimension of pixel result of big transformation then done dimension reduction by using method of Principal Component Analysis which also known as eigenface method. At the time of testing by using the method of Principal Component Analysis there are two stages when identifying the image of his face. The first stage is the preprocessing stage and the second stage is the introduction stage. After the image of the training is processed it will look for the average value if the input image close to the average value of the face image on the database and the image is recognized then arduino will give the command to open the prototype door. The success rate in this experiment is very good as expected and has a high degree of accuracy and rapid detection. The level of success depends on the lighting, the image factor being performed during the database retrieval process, the expression of the face, and the angle of the image.