2771-1463ISSN (Online)
2771-1471ISSN (Print)
Volume 5 , Issue 1 , PP: 46-52, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Jayakaran P. 1 * , Jeffery matthew S. 2 , Litheeswaran S. 3 , Mohamed Arshad 4 , Mahajan S. 5 , R. Priya 6
Doi: https://doi.org/10.54216/JCHCI.050105
This paper presents advancement in lip print perception and a advancement of biometric system by scanning the lips and getting the lip prints of the individual for security purposes to safeguard confidential data and information. The method used here to identify the lip prints is Cheiloscopy and which scans the lips with the help of camera with a micro lens to get lip prints. This security system was developed using machine learning in python and IoT system. This security system is an alternative for fingerprint and footprint. The security system here differentiates lips based on lip pigment, texture, and prints presented on the lips and check the database for a match. The security systems are fully developed with IoT systems and machine learning in python. The R-CNN in machine learning is used for lip analysis and supervised learning in machine learning is used to find a perfect match.
lip print , biometric system , IoT , fingerprint
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