Novel and Fast Algorithm for Extracting License Plate Location Based on Edge Analysis

TL;DR

This paper introduces a rapid and accurate license plate extraction algorithm using edge analysis, suitable for practical intelligent transportation systems, achieving 98% accuracy on vehicle databases.

Contribution

The paper proposes a novel four-stage edge analysis method for license plate extraction that improves speed and accuracy over existing techniques.

Findings

Achieved 98% accuracy in license plate extraction

Effective noise removal and edge analysis improve detection performance

Method is suitable for real-time ITS applications

Abstract

Nowadays in developing or developed countries, the Intelligent Transportation System (ITS) technology has attracted so much attention to itself. License Plate Recognition (LPR) systems have many applications in ITSs, such as the payment of parking fee, controlling the traffic volume, traffic data collection, etc. This paper presents a new and fast method for license plate extraction based on edge analysis. our proposed method consist of four stage, which are edge detection, non-useable edge and noise removing, edge analysis and morphology-based license plate extraction. In the result part, the proposed algorithm is applied on vehicle database and the accuracy rate reached 98%. From the experimental results it is shown that the proposed method gives fairly acceptable level of accuracy for practical license plate recognition system.