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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1284 - 1288 | India
Counterfeit Voting System
Abstract: Ensuring the integrity and security of electoral processes is a major challenge in modern democratic systems. Traditional voting methods rely heavily on manual identity verification, which is time-consuming and vulnerable to impersonation, duplicate voting, and human errors. This paper presents an AI-powered Counterfeit Voting Detection System that enhances voter authentication using face recognition and One-Time Password (OTP) based multi-factor authentication. The system captures a live facial image of the voter and compares it with stored records using computer vision techniques. Additionally, an OTP is sent to the registered user for secondary verification. The system maintains a centralized database to track voting status and prevent duplicate voting across multiple polling stations. It operates independently from Electronic Voting Machines (EVMs), ensuring vote secrecy while improving verification security. The integration of artificial intelligence, secure web technologies, and real-time data processing significantly enhances transparency, accuracy, and reliability in the voting process.
Keywords: Face Recognition, OTP Authentication, Voting Security, Biometric Verification, Fraud Detection, Django, OpenCV
How to Cite?: Amal Hari, Preethi Thomas, "Counterfeit Voting System", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1284-1288, https://www.ijsr.net/getabstract.php?paperid=SR26420122841, DOI: https://dx.dx.doi.org/10.21275/SR26420122841