Retina Based Authentication for E-Voting System

The world is becoming completely digitalize. Unlike other things,voting is also becoming digitalize. The basic concept of this project is to create an e-voting system as a way to assist to get rid of defrauding of the manual voting structures like a paper-based voting system, in this, there is a cha

Project Title

Retina Based Authentication for E-Voting System

Project Area of Specialization

Artificial Intelligence

Project Summary

The world is becoming completely digitalize. Unlike other things,voting is also becoming digitalize. The basic concept of this project is to create an e-voting system as a way to assist to get rid of defrauding of the manual voting structures like a paper-based voting system, in this, there is a chance of casting votes more than once and prior. Advanced secure e-voting system helps with the internet of things(IoT) in achieving free and fair elections. The problem of false voting by the impostor and slow in the collation of election results, delay in the results announcement will be solved. The proposed machine includes a couple of layers of verification to ensure the reliability of the voter. With the inclusion of a biometric retina sensor, every voter is recognized and match the retina with the given database of enlisted voters. Once the corresponding fingerprint is matched with the records provided then with the inclusion of retina recognition sensor, the system will match the retina of every person and if it will match then the voter will be allowed to proceed for the selection of preferred candidate from the panel.  The final confirmation message is then displayed on the LCD for the pride of voter.

Project Objectives

1.The objective of this project is to reduce corruption in voting and to make the elections secure and fair.

2.This system will provide a smart ,secure and versatile public voting systems.

3.This system will reduce the time for voting as large number of questionable and invalid votes are the big issues with the traditional paper-ballot based voting system.

Project Implementation Method

The electronic voting system is the easiest way for the election process. The E-Voting System is a digital electronic system. In this process, the user’s data are collected in a digital manner.  The major issue of this process is considered a user authentication and data storage. There are many secured passwords based securities are available in the last decades, but such kind of securities are not safe for user authentication it is easily hacked by the attackers. Hence, Retina based E-voting system provide reliable security for the confidential E-voting system. The retina based E-voting has provided more reliable security for user authentication. In this work, the feature extraction process is done by the fuzzy logic and the matching process is done by the hamming distance and Manhattan distance to match frequent patterns in similarity measures between the retinal images and identifies detection probabilities in retina layers. Angular and radial partitioning techniques are used to detect the similarities of the blood vessels. This mechanism provides maximum security and achieves optimal results for the E-voting system.

Benefits of the Project

The benefit of this project is to implement such a tool for fair and secure elections are

High security and assurance

Convenient and fast Non-transferrable

Biometrics are hard to fake or steal

Eye- recognition will provide double authentication and is hard to fake or steal.

Faster vote and tabulation.

This system will provide more relibility and accuracy .

Technical Details of Final Deliverable

This system describes the retina based security system in E-voting with high performance from the practical point of view.

These techniques are:

• A method of evaluating the quality of an image in the image acquisition step and excluding it from the subsequent processing if it is not appropriate. Retina

based details are stored in the database.

• Matching process based on Hamming distance function between the input code and the registered iris codes. The system out the recognition rate is about 92%.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

IT , Legal

Core Technology

Internet of Things (IoT)

Other Technologies

Blockchain

Sustainable Development Goals

Peace and Justice Strong Institutions

Required Resources

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