1
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(jayakaranvicky56@gmail.com)
2
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(jefferymatthew77@gmail.com)
3
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(litheez10@gmail.com)
4
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(arshad134309@gmail.com)
5
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(mahajansekar950@gmail.com)
6
UG Student, Department of Artificial Intelligence and Data science Panimalar Engineering College Chennai
(priyasrp@gmail.com)
Abstract :
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.
Keywords :
lip print; biometric system; IoT; fingerprint
References :
[1] Cheiloscopy: An Aid For Personal Identification, Rashmi Venkatesh And Maria Priscilla David 2011 Jul-Dec; 3(2) 67-90 J Forensic Dent Sci 10.4103/0975-1475.92147
[2] Research On The Dynamic Viseme Of The Lip Shape Based On Facial Motion Capture Technology; Kok-Lim Alvin Yau, Rushdi Noor Rosan;
Published 26 September 2022; Doi: 10.3389/Fnbit.2022.922756
[3] Lip Print-Based Identification Using Traditional And Deep Learning; Wardah Farrukh, Dustin Van Der Haar; Published On 5 May 2022;
Doi.Org/10.1049/Bme2.12073
[4] Digital Method For Lip Print Analysis: A New Approach, Rachana V. Prabhu, Ajit Dinkar Published On 2013 Jul-Dec; J Forensic Dent Sci; 10.4103/0975-1475.1197722
[5] Cheiloscopy: The Study Of Lip Prints In Sex Identification, Preeti Sharma, Susmita Saxena, Published On January-June 2009; Department Of Oral Pathology And Microbiology, Subharti Dental College, Meerut, Up, India;10.4103/0974-2948.50884
[6]Gender Determination Using Cheiloscopy , Padmavathi B. N, Ramanpal Singh Makkad Published March 2013; Department Of Oral Medicine And Radiology, Darshan Dental College And Hospital, Loyara, Udaipur, Rajasthan, India; 10.4103/0975-1475.119780
[7] Fingerprint Matching, A.K. Jain, P. Flynn, and A.A. Ross, Eds., Handbook Of Biometrics, Springer, 2007.
[8] Nishanthi. G , Yuvashree , A, Jessinda Joseph , Supraja. RSupraja. R, Personnel Monitoring System Using Mobile Application during the COVID 19, Journal of Cognitive Human-Computer Interaction, Vol. 2 , No. 2 , (2022) : 40-49 (Doi : https://doi.org/10.54216/JCHCI.020201)
[9] Recurrent Neural Network Verifier For Face Detection And Tracking, Sung H. Yoon, Gi T. Hur, Department Of Computer Science, North Carolina A&T State University,Nc 274111
[10] Ramgude AkshayDili , K. Vengatesa , Kunal Joshi , Chaitanya Tekane, Counterfeit Product Detection System Using One-Time QR code, Journal of Cognitive Human-Computer Interaction, Vol. 2 , No. 2 , (2022) : 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205)
[9] Robust Real-Time Face Detection, Paul Viola, Michael J. Jones, Published July 11 2003, MicrosoftResearch, One Microsoft Way, Redmond, USA
[10] A Systematic Analysis Of Fingerprint Matching Techniques For Fingerprint Recognition System, Mahesh Kumar, Devender Kumar Published On 26 March 2022 Department Of Computer Science And Engineering, Baba Mastnath University, Asthal Bohar, Sector-29, Rohtak, Haryana, India 10.1007/978-981-16-8987-1_10
| Style | # |
|---|---|
| MLA | Jayakaran P. , Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S. , R. Priya. "Lip Print Scanner." Journal of Cognitive Human-Computer Interaction, Vol. 5, No. 1, 2023 ,PP. 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |
| APA | Jayakaran P. , Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S. , R. Priya. (2023). Lip Print Scanner. Journal of Journal of Cognitive Human-Computer Interaction, 5 ( 1 ), 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |
| Chicago | Jayakaran P. , Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S. , R. Priya. "Lip Print Scanner." Journal of Journal of Cognitive Human-Computer Interaction, 5 no. 1 (2023): 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |
| Harvard | Jayakaran P. , Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S. , R. Priya. (2023). Lip Print Scanner. Journal of Journal of Cognitive Human-Computer Interaction, 5 ( 1 ), 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |
| Vancouver | Jayakaran P. , Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S. , R. Priya. Lip Print Scanner. Journal of Journal of Cognitive Human-Computer Interaction, (2023); 5 ( 1 ): 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |
| IEEE | Jayakaran P., Jeffery matthew S., Litheeswaran S., Mohamed Arshad, Mahajan S., R. Priya, Lip Print Scanner, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 5 , No. 1 , (2023) : 46-52 (Doi : https://doi.org/10.54216/JCHCI.050105) |