Abstract
The mental state of a person is judged by detecting smiles. The smile detection starts with face recognition. My algorithm in our paper detects by definition the face from the image we entered, and then it detects the mouth and finally the smile. Next, we make sure that the face we detected is a smiley face or not in a photo, detects the person’s mouth, and decides if they are pleased or not. Given a set of photos of a person entry in our system, we can compare their images using algorithms to detect face and other to detect automatic the corners and the features of the month then we determine which picture has the best smile.
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Akoum, A., Makkouk, R., Hage Chehade, R. (2020). An Efficient Approach to Face and Smile Detection. In: Bouhlel, M., Rovetta, S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.1. SETIT 2018. Smart Innovation, Systems and Technologies, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-21005-2_37
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DOI: https://doi.org/10.1007/978-3-030-21005-2_37
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