Fingerprint-Based Vehicle Authentication System Using Computer Vision Techniques

Abstract

The Fingerprint-Based Vehicle Authentication System is an automated biometric verification system designed to authenticate licenses, challans, and other physical documents required by traffic enforcement agencies. It incorporates an electronic ticketing system (e-Challan) to enhance the efficiency and security of vehicle violation monitoring. The system authenticates users through biometric identification using fingerprint recognition, implemented with OpenCV's Scale- Invariant Feature Transform (SIFT) and the Fast Library for Approximate Nearest Neighbors (FLANN). A web-based interface is developed using Streamlit, while SQLite is employed as a lightweight database for storing system information. Users can authenticate themselves in real time and access their vehicle- related tickets, while administrators can monitor and manage violation records. The experimental results demonstrate that the proposed system performs effectively under different environmental conditions and provides an accessible platform for traffic enforcement agencies. The system further facilitates automated e-Challan management, offering improved security and efficiency in tracking vehicle violations. It provides real-time authentication of vehicle owners, access to challans associated with specific vehicles, and comprehensive management of violation records. The experimental evaluation indicates that the system operates effectively across various conditions and provides a practical platform for supporting traffic enforcement activities. Keywords: OpenCV, SIFT, FLANN, SQLite, Streamlit, Vehicle Authentication, e-Challan.