MACHINE LEARNING BASED IRIS RECOGNITION MODERN VOTING SYSTEM

Abstract

Based on the iris recognition system and 
related technologies, one of the primary 
outcomes of the validation system is the 
fingerprint-based system. The whole 
biometric procedure is much more genuine 
and distinct than the other kinds of 
validation procedures and recognition 
systems. This has given people creative 
ideas for their everyday lives. In general, the 
multimodal biometric process has used a 
variety of applications to appropriately 
address the most important and relevant 
shortcomings of the "unimodal biometric 
system." In general, the complete process 
has been incorporated, taking into account 
the appropriate noise sensitivity, population 
coverage regions, situations of variability 
involving both intra- and inter-class 
concerns, vulnerability involving potential 
hacking, and non-universality criteria. The 
machine learning system with a deep 
learning orientation has been the primary 
topic of the whole research article. 
Convolutional neural network (CNN) 
technology has been primarily used in the 
fingerprint-based iris recognition system to 
provide accurate human validation. The iris 
recognition system has mostly been used in 
relation to the "high security protection 
system with actual fingerprints" in the 
current data validation procedure. The 
optimal uniqueness, reliability procedure, 
and appropriate "validity of the iris 
biometric validation system" for the real 
goal of person identification have been 
briefly discussed throughout the whole text.