Sistem Absensi Berbasiskan Pengenalan Wajah Secara Realtime Menggunakan Webcam Dengan Metode PCA

Pratikno, Heri (2013) Sistem Absensi Berbasiskan Pengenalan Wajah Secara Realtime Menggunakan Webcam Dengan Metode PCA. In: Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2013, 24 Oktober 2013, Surabaya.

[img] Text
Absensi_Berbasis_Wajah.pdf - Published Version

Download (792kB)
Official URL:

Search this title on : |


Face can be considered as part of biometric system which is used in computing processes for tracking, recognition, expression and pose estimation in computer vision. Face recognition has become an attraction and a lot of dedicated research in this field has been done since a decade ago. This is mainly because face recognition does not require direct physical contact interaction between human and computer input sensor, problems in face recognition system are quite dynamic and complex. This is caused by several factors, including: indoor lighting conditions, angle of view of the camera, the speed of head movement and facial expression changes. Several methods for face recognition, for example: Gabor filter, PCA, LDA, subspace LDA, Neural Network and Fuzzy. Differences of these methods depend on the end result that is desired, such as computing speed, accuracy and durability. This study applied the PCA method that is commonly referred to as the application of the Eigenface. The PCA method was chosen due to that realtime attendance system required simplicity, speed and accuracy. The results showed that realtime facial recognition to the input face examined in ten different actors have avarage confidence values 0.97 with an average accuracy of 97.67%. The speed of detection for each image is 0.25 ms.

Export Record

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN : 978-979-8968-36-5
Uncontrolled Keywords: Face Recognition, Principal Component Analysis, Eigenface
Dewey Decimal Classification: 600 – Technology > 650 Management & auxiliary services
Divisions: Penelitian dan Pengabdian Masyarakat > Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2013
Depositing User: Agung P. W.
Date Deposited: 23 Apr 2014 09:35
Last Modified: 23 Apr 2014 09:35

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item   View Item