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

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

Mazin S. Mohammed, Raya Basil Alothman
Copyright: © 2022 |Volume: 17 |Issue: 1 |Pages: 10
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781799894001|DOI: 10.4018/IJITWE.315291
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MLA

Mohammed, Mazin S., and Raya Basil Alothman. "An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm." IJITWE vol.17, no.1 2022: pp.1-10. http://doi.org/10.4018/IJITWE.315291

APA

Mohammed, M. S. & Alothman, R. B. (2022). An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm. International Journal of Information Technology and Web Engineering (IJITWE), 17(1), 1-10. http://doi.org/10.4018/IJITWE.315291

Chicago

Mohammed, Mazin S., and Raya Basil Alothman. "An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm," International Journal of Information Technology and Web Engineering (IJITWE) 17, no.1: 1-10. http://doi.org/10.4018/IJITWE.315291

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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.