Abstract
In this article, we have covered a mobile system that checks liveness based on human facial expressions. The facial expressions, the location of the eyes, eyebrows, mouth, and nose, which are the main elements of the face, can be distinguished by their variability and the distance between them. Further, the most important parameters are the size of the eye, how much the eyebrows are bent, how close the mouth is, and how much the mouth is open. We’ve done our system development with Android Studio and Android application development tools. The feature extraction of face is needed to recognize the facial expressions is based on the models stored by the facial points, while the final solution is found by SVM. This made it possible for each image categorized as neutral or with expressions. If not neutral, collect expressions and compare them with the expressions queue.
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Batsukh, BE. (2021). Liveness Detection via Facial Expressions Queue. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1251. Springer, Cham. https://doi.org/10.1007/978-3-030-55187-2_7
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DOI: https://doi.org/10.1007/978-3-030-55187-2_7
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