Aadhaar-Linked Biometric Voting System: Enhancing Electoral Integrity Through Facial and Fingerprint Verification

Aadhaar-Linked Biometric Voting System: Enhancing Electoral Integrity Through Facial and Fingerprint Verification

Sharwari Krishna C, Ms. Jayashree M

St Joseph Engineering College, Mangalore

Assistant Professor, St Joseph Engineering College, Mangalore

Abstract – Free and authentic elections are the challenge of the times for a robust democratic system. Traditional ballot systems like Electronic Voting Machines (EVMs) also have room for impersonation, double voting, and are out of reach for far-off voters from the polling station. Current biometric-based ballot systems use single-mode verification like fingerprint or RFID, not powered by multi- layered verification and ease of web-based balloting. The paper suggests a secure multilayered Biometric Voting System incorporating live face recognition, thumbprint, Aadhaar-based ID verification authentication, and dynamic OTP authentication. The system checks the location of a voter only to restrict online voting to individuals outside their constituency polling station, hence checking voter impersonation.

The proof-of-concept facilitates real-time Aadhaar and Voter ID database authentication, avoids duplicate attempts at voting (online/offline), and instills trust through multi-factor biometric authentication. The solution proposed remedied problems common to systems already published in the literature, offering an open, secure, and scalable platform to the future of democratic elections.

1. INTRODUCTION:

   A democratic nation like India with free and fair elections and with the elections being the pillars of the political environment, it is essential to preserve the sanctity and integrity of the election process. The conventional mechanism of voting, i.e., the electronic voting machines (EVMs), has been a gigantic step ahead of manual ballots, but with disadvantages. Impersonation, rigging, booth capturing, and fake voting continue to be trap falls to mar the democratic process. With an impending growing population and greater dependence on technology, there is a need to utilize safer, more transparent, and more convenient methods of voting.

   For these purposes, in this paper, the authors have suggested an Aadhaar-based authentication, fingerprint scanning, live facial recognition, and OTP verification based Biometric Voting System to make an online voting system fraud-free and secure. In contrast to earlier systems, which had offered security for EVMs or security for RFID-based authentication, the system in this case consists of a multi- modal biometric system that makes it extremely difficult for an unauthenticated user to access the voting system. The Aadhaar database maintained by the Unique Identification Authority of India (UIDAI) offers a verified and authentic source of identity information, e.g., biometric data like fingerprints and face details. There are no enrolled and authenticated voters available from the country-level database. The site is universal-accessible and can be accessed by any authenticated voter anywhere.

   Unlike other systems where polling was restricted to people staying away from their constituencies, the new system ends this limitation and opens up polling to everyone who has been certified. It takes actual thumb impressions and face details through the camera and device fingerprint and cross- verified against Aadhaar data. A one-time password sent to the registered email adds another step of verification prior to a vote being cast. All layersvoter, Aadhaar, and faceare correctly matched only when, the voter is able to cast their vote online. It also adheres strictly to the "one person, one vote" principle. It verifies whether the individual has ever voted offline or online and, if yes, the website hinders voting.

   These cast ballots are also stored in a tamper- proof safe database so that the final result contains no invalid entries. Management and admin-authentication options are also provided in the system, such as the election commission's capability to authenticate requests, validate documents, and track the voting process in real-time. By integrating these modules into a single architecture, the system aims to bring the Indian election system into the modern digital era and

   fight age-old identity verification, access, and voting forgery weaknesses. In this following paper, title Biometric Voting System design, development, and testing are described, as well as an analysis of how useful it proves in transforming democratic participation to be offered by the digital era.

2. OBJECTIVES:

   • To develop and deploy an Aadhaar and Voter ID integrated online biometric voting system that is secure.

   • To enforce multi-factor authentication (face, t,OTP) with an attempt to avoid impersonation and spoof voting.

   • To allow all enrolled voters to cast their vote online from any location.

   • To avoid offline as well as online double voting through synchronized verification checks.

3. LITERATURE SURVEY:

   Benson Mansingh P M [1] The present paper employs an RFID and fingerprint biometric-based biometric voting system with an objective of eradicating the phenomenon of duplicate or ghost voting. The central problem-solving objective in system design was enhanced exposure to conventional electronic voting machines, which have no biometric way of verifying a voter in real time before he or she casts his or her vote. This makes the voting system vulnerable to impersonation, capture of booths, and unauthentic access to the voting system. RFID cards have been employed by writers as a substitute for physical voter ID cards for contactless verification. An RFID tag contains a voter ID stored in the tag and linked with the backend Aadhaar database. When casting the votes, the RFID tag is read and back-end records are retrieved from the same. Aadhaar fingerprint authentication has to be performed by the voter in the subsequent step. Fingerprint records are matched against the Aadhaar biometric database for identifying the individual. The twofactor authentication provides a security level high on the voting process and prevents fraud very efficiently.

   Mohammed Khasawneh [2] An attempt is made by this paper to implement a varied e- voting system with the prime capability of managing varied horizons of elections presidential, municipal, and parliamentary and on the grounds of transparency, integrity, and instant counting of votes. The authors' opinion is that application of combination of fingerprint biometrics can be implemented in such a way so as to provide authentication and identification of the voters to a very high extent, avoiding impersonation and serial vote attacks. The system also has some security measures in terms of double biometric verification and flag for double voting detection. The system can also have simple nonfunctional requirements like correctness, strength, and consistency which make up the integrity of an election process. Of

   perhaps one of the most appealing features of this design is the use of local and central databases that converse with each other in real time and which are synchronized in such a manner as to give integrity to any single vote as it is cast. Most importantly, the system outputs twin receipts for a twin votea voter receipt and an anonymized one for the system to use in auditinghence acquiring transparency without compromising voters' confidentiality.

   Prof. M.N. Annadate [3] A two-layer structured mechanism: registration phase and polling phase, is suggested in this paper. In the registration phase, voters' information, i.e., biometric information like fingerprints, are stored in an encrypted database. The system employs a biomtric sensor and a Wi-Fi module (ESP8266) for voter authentication and identification purposes before they can cast their vote. The system also protects itself from security problems such as rigging and tampering by voting solely for actual voters. The system also has a different new system where it gets feedbackafter it wins biometric authentication, the process forwards a vote-approving message via ZigBee to the opening poll console. During the day of the poll, the data is encrypted into the central database and remains there until the following voter. Biometrics by fingerprints not only increase the safety quotient but also preclude duplicate identities and are therefore safer than usual EVMs. Kennedy Okokpujie [4]

   employs three levels of security: one-time ID code, time- based token passcode, and biometric authentication based on fingerprint and iris scan. It was designed and open- minded for preventing repeat voting and impersonation. It was superb with zero failure to enroll (FTE) and failure to capture (FTC), which said a lot about their biometric capture culture. The most valuable asset of the system is its twin-layer security system, which is a union of token-based authentication and twin biometric features. This tames colossally the ferocious fraud of counterfeiting and unauthorized access common in most new electoral systems. The system also illustrated live admin capability, whereby election administrators can view live tabulation of citizens' participation and votinga demand that entraps the latest digital expectations in electoral systems.

4. METHODOLOGY:

   The Biometric Voting System employs a secure web-enabled platform with face recognition augmented with Aadhaar and Voter ID authentication. These guarantees maximum security, accuracy, and transparency of the voting process. The system will attempt to simplify the voting as much as possible while one for one vote, fraud, and impersonation are avoided. The methodology consists of frontend and backend components that pass data to form a full process from voter registration to final submission of votes. System backend is

   implemented using Python Flask since it is scalable, easy, and efficient to handle RESTful API requests. HTML, CSS, and JavaScript are used to construct the frontend in a manner that all voter interfaces are maintained responsive, functional, and minimalist in terms of aesthetics. All the aspects that come under data management are managed by the MySQL database, and it can manage different modules of the voting process such as voter details, biometric authentication history, vote status, OTP history logging, and candidate application. The voter module starts with a simple but secure registration page, where the voter needs to fill in full name, email ID, Aadhaar number, Voter ID, and password. After successful registration, the voter logs in using credentials and goes ahead to request a vote. Voter's state, district, and ward number are stored in the app and uploading Aadhaar, Voter ID, and latest passport-size photograph mandatorily. The request, after being submitted, is inserted into the voting_request table and left as "pending" for use by the Election-Commission.

   Fig 1: Flowchart of Voter

   To further establish identity, there is a process of verification. OTP is a four-digit random OTP that is sent to the registered email id of the voter by an SMTP mail server of the Gmail server. The user inputs this OTP for verification. It is

   permissible only when the OTP is input as a valid digit, and the voter is allowed to move ahead. OTP logic is saved in the OTP_verification table with OTP, generation date, and verification status. Voter is asked to move on to the biometric verification process after confirmation of OTP. Module enables the system camera and displays on-screen circular focus ring to guide the voter to show their thumb on it. Face of the voter is scanned and compared against Aadhaar- supplied face information (simulated in this proof of concept). Both biometric authentications are performed only after they have been accomplished successfully that the user is diverted to the voting page. At the voting page, the voter selects a candidate from a drop-down menu and submits vote. The vote table is updated and the voter is marked "voted" so no effort is repeated again. After sending, the voter is routed to a "Vote Success" page which allows the vote to be sent safely. Besides that, there is a whole dashboard provided to the Election Commission to login and view by the admin module. Admins can view all the voters' requests, check OTP and biometric verification status, view the casted votes, and process contestant applications. The contestants submit through a specific form with required data such as name, party, constituency, ID proof, affidavit, photo, phone number, and address. All these are filtered through the admin and either rejected or accepted. The schema of the database is implemented with extreme caution to attempt to place it in a state of scalability and integrity. The most significant tables include contestant_requests, votes, OTP_verification, voter, and, biometric_verification, and voting_request. Aadhaar, Voter ID, and images are securely stored in a static/uploads/ directory and retrieved from the database.

   Fig 3: Biometric Verification Page

   Fig 4: Apply Contest Page

   Fig 5: Admin Dashboard

   Security is achieved through session-based login, OTP code, and biometric. Steps cannot be avoidedvoting can only be achieved if the application is authenticated, OTP is authenticated, and biometric authentication is successful. Further, everything is also traced in the backend so that in the future, auditing or legal requests can be fulfilled. Lastly, the approach guarantees that all the voting pipeline is secure, transparent, and easy for users, avoiding duplication, fraud, and misuse of voters' identity. Further upgradation may be done by actual biometric hardware or through cloud storage to be used at the national level.

5. RESULT AND ANALYSIS:

   Aadhaar-Linked Biometric Voting System was successfully tested for correct, secure, and reliable election. It contains modules such as face verification, voter registration, fingerprint verification, OTP verification, and admin dashboard. Geolocation is applied along with the Internet; hence a registered voter is able to vote, not just those who are distant from polling centres. Geolocation is an added level of protection to detect suspicious access patterns and remove duplicate voting by multiple devices or geolocations. Aadhaar linkage via OTP- based and biometric verification ensures that only valid, unique votes are cast. Real-time tracking, candidate verification, and suspicious patterns detection are enabled through the admin panel. Generally, the system is effective in preventing impersonation, spurious

   registrations, and multiple voting, offering a secure, scalable, and transparent online solution to elections.

6. FUTURE ENHANCEMENTS:

   In future deployments, Aadhaar-based Biometric Voting System can be enhanced further by integrating with advanced capabilities that provide increased accessibility, scalability, and security. A primary enhancement would be integration of AI-based facial recognition methods, e.g., deep learning algorithms, to enable increased accuracy under varying lighting and background conditions, to enable strong identification at low-resource or rural sites. The system can further be implemented with voice recognition as the fall- back biometric for users with disabilities. Blockchain can be used for tamper-evident secure storage of the votes and have open audit trails so that the process of election becomes more confidence-generating. As an additional facility, a mobile app version of the same system can also be created with offline biometric data collection and sync facility so that even the voters who are not provided

   with continuous internet connectivity can also be supported. Finally, support for many languages and assistive user interface can enable accessibility and experience by foreign voters.

7. CONCLUSION:

   Aadhaar-based Biometric Voting System provides a secure, stable, and inclusive platform for the realization of digital elections in India. It employs the use of the implementation of integration of several layers of authentication including Aadhaar authentication, face recognition, and fingerprint recognition and One-Time- Password-based authentication the process ensures that each vote is being cast by a registered voter and for the first time. Efficient testing and implementation of the system demonstrate it to be useful in preventing impersonation, double voting, and all other forms of election frauds. This design, in contrast to electronic voting systems that have traditionally been employed, not only stays open to online voting by all citizens regardless of location, but tight security also does not take a hit in the form of geolocation verification. Admin dashboard for transparency provides live administration and control of candidate and voter data. Admin page also supports features like export contestants, export votes, etc. The system provides a futureproofed platform to election processes in general and is one step in the direction of revolutionizing democratic participation with technology.

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   1,2,4 Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria

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   2. Department of Mechanical Engineering, Covenant University, Ota, Nigeria

   Enhancing Areca Nut Plant Wellness:

   Innovative Disease Detection using Deep Learning Algorithms Namra Mahveen, Umaira Shaheen, S. M. Hasanuddin, Ayesha Fatima, Saheba Aijaz, Qutubuddin S. M

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9. E-Voting Using Blockchain With Biometric Authentication

   Sunita Suralkar1, Sanjay Udasi2, Sumit Gagnani3, Mayur Tekwani4 & Mohit Bhatia5

   1 Assistant Professor, 2,3,4,5 Student Computer Engineering

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