Open AccessDeep Learning Based Multi-Modal Biometric Security System Using Visible Light Communication
Author(s) -
R. Arthi,
D. Manojkumar,
Aksa Abraham,
Allada Rahul Kishan,
Alekhya Sattenapalli
Publication year - 2022
Publication title -
wseas transactions on systems and control/wseas transactions on systems and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.174
H-Index - 16
eISSN - 2224-2856
pISSN - 1991-8763
DOI - 10.37394/23203.2022.17.4
Subject(s) - computer science , biometrics , artificial intelligence , convolutional neural network , fingerprint (computing) , computer vision , deep learning , field (mathematics) , modal , facial recognition system , face (sociological concept) , pattern recognition (psychology) , social science , chemistry , mathematics , sociology , polymer chemistry , pure mathematics
Multi-biometric system is an advanced technology which has a wide application space in the field of information security. This work proposes the design of a personal identification system based on a combination of biometric inputs such as face, finger vein, iris and fingerprint. Viola jones algorithm is used for face detection. Convolutional neural network (CNN) with different optimisers are used to steeply raise the image texture and extract high definition distinct features of the input images. The deep dream image algorithm accompanies CNN by visualizing these images and by highlighting the image features learnt by the network. These images are used for understanding and diagnosing network behaviour. This network obtains a high recognition rate, which proves to be better performing than traditional algorithms. In addition to these, a high-speed advanced wireless communication technology (Li-Fi) is used in combination with GSM which would act as an alert system that effectively helps in notifying the supervisory authority, if the system is being trespassed without proper authentication.