An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm

Mazin S. Mohammed and Raya Basil Alothman
Additional contact information
Mazin S. Mohammed: University of Mosul, Iraq
Raya Basil Alothman: University of Mosul, Iraq

International Journal of Information Technology and Web Engineering (IJITWE), 2022, vol. 17, issue 1, 1-10

Abstract: Face detection is the most critical and first step in the attendance management system. The human face is non-rigid and has many differences in visual situations, scale, clarity, poses, and rotation. The precise and reliable identification was a challenge for the researcher. A variety of methods and techniques are suggested, but due to many variations, no one technique is very effective for all sorts of faces and pictures. Many techniques show good results under certain conditions, and others are successful for various types of images. Image-discriminating methods are commonly used for pattern and image analysis. Specific forms of prejudice are discussed.

Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITWE.315291 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-10

Access Statistics for this article

International Journal of Information Technology and Web Engineering (IJITWE) is currently edited by Ghazi I. Alkhatib

More articles in International Journal of Information Technology and Web Engineering (IJITWE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().