International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
www.irjet.net
IRIS BASED MODERN VOTING SYSTEM USING DEEP LEARNING ALGORITHM Killamsetty Viswanadham1, Karthik Kumar2, Akhil Kumar3 ,Gunachand4 1,2,3,4Student,GITAM(Deemed to be University), Visakhapatnam ,Andhra Pradesh, India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Paper ballots and electronic voting machines
special and trustworthy way to confirm an individual's identity. In order to address the drawbacks of conventional voting procedures, this study investigates the idea of an Iris recognition-based voting system. This method seeks to address issues with voter verification, security, and accessibility by utilizing the high accuracy and dependability of iris recognition. This innovative method of voting systems is being introduced at a critical time when inclusive and safe electoral procedures are more important than ever. In order to address the drawbacks of conventional voting procedures, this study investigates the idea of an Iris recognition-based voting system. This method seeks to address issues with voter verification, security, and accessibility by utilizing the high accuracy and dependability of iris recognition. This innovative method of voting systems is being introduced at a critical time when inclusive and safe electoral procedures are more important than ever.
(EVMs) with Direct Response Electronic (DRE) or Identical Ballot Boxes have long been the mainstay of traditional voting methods. These solutions do not, however, come without shortcomings, such as issues with accessibility, security, and accuracy. This paper suggests a novel solution to address these drawbacks: a digital voting system that makes use of Iris recognition technology. The study's Iris Recognition-based Voting System, which uses each person's own iris pattern for identity verification, provides a reliable solution. An automatic biometric identification technology called iris recognition assesses each person's unique and intricate iris patterns, offering a high degree of precision and dependability The voter's iris is gathered and used for identification at the voting location via a straightforward iris scan, which is part of the proposed system. To ensure precise authentication, the iris recognition procedure consists of image acquisition, iris segmentation, feature extraction, and pattern matching. This method solves a number of issues with conventional voting systems by incorporating Iris recognition technology into the voting process. By offering a dependable means of identity verification, it lowers the possibility of fraudulent activity and increases voter accessibility, all of which contribute to increased security. In summary, this research offers a noteworthy progression in voting systems by utilizing state-ofthe-art technology to surmount the constraints of current approaches. In addition to improving voting's speed and integrity, the Iris recognition-based voting system opens the door for a more safe and welcoming democratic environment.
2. EXISTING SYSTEM In order to address the drawbacks of conventional voting procedures, this study investigates the idea of an Iris recognition-based voting system. This method seeks to address issues with voter verification, security, and accessibility by utilizing the high accuracy and dependability of iris recognition. This innovative method of voting systems is being introduced at a critical time when inclusive and safe electoral procedures are more important than ever. Electronic voting machines have become more and more common as a more effective substitute for paper ballots in recent years. Voters can use electronic voting machines (EVMs), and the machine will automatically tabulate the results. This expedites the tallying of votes and simplifies the voting process, allowing for a quicker announcement of election results. However, questions about the security and dependability of EVMs have been raised because to their broad adoption. EVMs are susceptible to hacking and tampering, according to critics, jeopardizing the democratic process's integrity and eroding public confidence in election results. Furthermore, traditional techniques of voter authentication, such presenting identification documents or confirming voter registration data, are used for both paperbased ballots and electronic voting machines. These procedures are not infallible and are subject to manipulation or abuse, even if their goal is to stop fraud and guarantee that only legitimate voters ballotss
Key Words: Artificial Intelligence, Convolutional neural network, Iris recognition, Voting system, Houge Circles.
1. INTRODUCTION The voting process's accessibility and integrity are critical components of democratic governance. Societies have used a variety of techniques over the ages to encourage voter participation in elections, from the conventional paper ballot to the more recent computerized voting systems. But there are drawbacks to these techniques as well, such as issues with inclusivity, security, and accuracy. Technological developments have provided creative answers to these problems that try to improve the voting process. The study suggests that using Iris recognition technology into the voting process is one such possibility. Based on the distinctive patterns found in the iris, iris recognition, an automated biometric identification technology, provides a
© 2024, IRJET
|
Impact Factor value: 8.226
|
ISO 9001:2008 Certified Journal
|
Page 901