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• W4313019583 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." @default.
• W4313019583 created "2023-01-05" @default.
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• W4313019583 date "2022-12-09" @default.
• W4313019583 modified "2023-10-18" @default.
• W4313019583 title "An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm" @default.
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• W4313019583 doi "https://doi.org/10.4018/ijitwe.315291" @default.
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