Face Recognition Based Voting System
G Bhagyavantha, Kumar Siddamallappa U, Shreedevi Prakash Gotur · International Journal of Research Publication and Reviews · 2025
Biometric security that relies on facial features, commonly known as face recognition, is an advanced method used for reliable voter verification.This project introduces a Face Recognition-Based Voting System that integrates the Haar Cascade algorithm, which detects facial features by tracking Haar-like characteristics.Haar Cascade is a well-known technique for rapid object detection and provides a balance between accuracy and efficiency, making it suitable for election environments where both speed and reliability are critical.The proposed system follows a three-level confirmation process to ensure maximum security.The first level verifies the user ID, followed by the validation of the voter card number.If both steps are successfully completed, the voter moves to the final stage-facial recognition.This step serves as the ultimate security layer to confirm the authenticity of the voter, ensuring that only legitimate individuals are allowed to cast their vote.By combining biometric authentication with digital verification, the system reduces impersonation, prevents fraudulent activities, and minimizes errors caused by manual intervention.It also enables faster result generation while protecting voter privacy through secure data encryption.Overall, this project aims to deliver a safe, transparent, and efficient voting framework that strengthens trust in the democratic process.