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

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  • Mazin S. Mohammed

    (University of Mosul, Iraq)

  • Raya Basil Alothman

    (University of Mosul, Iraq)

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.

Suggested Citation

  • Mazin S. Mohammed & Raya Basil Alothman, 2022. "An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-10, January.
    • Handle: RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-10
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