Abstract
By the huge use of biometric identification and authentication systems, securing user’s images is one of the major recent researches topics. In this paper we aim to present a new approach which is based on detecting face in any picture (even with low quality) a detection that can goes to 93%. As a second work we aim to test the ability of this algorithm to identify people while wearing medical masks. In fact, with the spread of Covid-19, people are now obliged to wear medical masks. These masks cover almost 60% of persons faces, this lack of information can prevent the identification of the person or can create some confusions. And To secure images and prevent identity theft we propose an approach that consists of hiding a generated key in each person’s image. This unique key is based on user’s personal information, the key will be verified by Luhn algorithm, which is considered as a widely used algorithm to verify generated IDs. As a third work, we aim to hide the person’s ID in the image using a steganographic algorithm. Our work main objective is to protect pictures and prevent any attempt of creating a fake model of the owners. Therefore, the ID hidden in the picture will be destructed in every attempt of creating a fake image or model.
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Nemmaoui, S., Elhammani, S. (2021). A New Approach Based on Steganography to Face Facial Recognition Vulnerabilities Against Fake Identities. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2021. Lecture Notes in Business Information Processing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-76508-8_19
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