Abstract
Finding facial component in face images is a significant arrangement for various facial image-understanding applications. The face detection is a process of detecting a region of the face from a picture, or image of one or multiple objects together. In this paper, we introduce Adaboost, viola-Jones, and Haar algorithms to detect faces either through mobile phone interface or from desktop computer UI. The application of the work has extended into an automated classroom attendance system using a handheld device. The results have shown the effectiveness of the proposed model.
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Bong, C.W., Xian, P.Y., Thomas, J. (2020). Face Recognition and Detection Using Haars Features with Template Matching Algorithm. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_45
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DOI: https://doi.org/10.1007/978-3-030-33585-4_45
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