AI-Assisted Fingerprint Based Voting: Artificial Intelligence Techniques for Accurate and Reliable Voting

Abstract

In developing countries like \"INDIA\", the election commission follows manual voting mechanism which is done by the electronic voting machine. But instead of this, The poll rate of India has only increased by 4 percent from 1952 to 2014. So a machine was required to automate the process and can be avail machine is placed in the poll booth center and is monitored by higher officials, due to some illegal activities the polling center are misused and people\'s right to has been denied. This seldom occurs in rural areas as well as in urban cities because the educated people are not interested in casting their votes to candidates who represent their respective areas. To ensure 100% voting, automation came into play. But this automated system has been approved only on some developed countries since security have not been ensured to a large extent. The poll percentage of India has never exceeded 67% till date. This paper presents the enhancement ofElectronicVotingMachine(EVM)performanceusingfingerprint and face recognition. In democratic countries, the EVM plays a vital role in the election process. Even though it has more benefits; still the malpractices are continued due to manual verification of electoral documents for all elections in democratic countries.In this proposed method EVM with biometric fingerprint and face recognition devices are used to overcomethis problem. To conquer the issues existing in the electionprocessfor voter identificationthe biometric fingerprint andweb cameras are introduced in the EVMs. The people at the polling booth need to put the finger in the fingerprint equipment andface to be captured by the web camera provided to recognize them. The controller fetches the data from the input devices and compares it with the database to enable the polling device to cast their votes. In practice, due to some technical issue either in the input devices or from the voter side the election process will be continued by document verification. In the polling booths, the presiding officersare havingtheright toenablethepollingdevice by pressing the enable button after document verification.The performance of the proposed method was validated with EVM successfully.

Introduction

The Fingerprint Voting System is a modern electronic voting approach that uses biometric authentication (fingerprint and face recognition) to ensure secure, accurate, and tamper-proof elections. It aims to overcome issues in traditional voting systems such as impersonation, invalid votes, fraud, high cost, and time consumption.

Earlier, voting relied on paper ballots, which were slow and prone to malpractice. The introduction of Electronic Voting Machines (EVMs) improved efficiency, but concerns about security and trust still remain. To address these issues, the proposed system enhances EVMs by integrating fingerprint and face recognition technologies.

Key Features of the Proposed System

• Uses face recognition first, followed by fingerprint verification if needed.
• If both fail, manual document verification is performed.
• Built using components like Raspberry Pi, fingerprint sensor, webcam, LCD, and push buttons.
• Stores voter data securely and prevents duplicate voting by detecting fraud attempts.
• Maintains a read-only record of votes for transparency.

Working Process

1. Voter enters name and face is scanned.
2. If face matches → allowed to vote.
3. If not → fingerprint is checked.
4. If still not verified → manual verification is done.
5. Once a vote is cast, the system blocks repeat voting and shows a fraud alert if attempted.

Results and Findings

• The system successfully reduces fake voting and malpractices.
• Ensures secure, fast, and accurate voting.
• Stores voting details confidentially with time and voter identity.

Advantages

• High security through biometric authentication
• Prevents duplicate and unauthorized voting
• Saves time and reduces manpower
• Cost-effective and efficient

Disadvantages

• Requires prior voter registration
• Fingerprint sensor may have sensitivity issues

Conclusion

The work is mainlyintended to develop a fingerprint and face-recognition-based advanced EVM. This helps to conduct free and fair elections in democratic countries like India. To ensure the security of the voter and preserve the sanctity of the method, a two-layer security scheme has been introduced. The pushbuttons are used to select the person to whom the candidates are going to vote. Initially, the finger of the voter is placed on the fingerprint sensor and if the voter is authorized then the signals are sent to the controller and then the second step is facial detection in this the web camera is used to detect facial details like iris or the retina scanning and once the voter is authorized then the voter is eligible to mark his vote using the pushbuttons given separately. Finally, all data is stored in an excel sheet and the results are announced for the particular election.

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Copyright

Copyright © 2026 Abhilasha Lodhi, Dr. Navdeep Saluja. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.