Novel and Fast Algorithm for Extracting License Plate Location Based on Edge Analysis
This addresses license plate recognition for intelligent transportation systems, but it appears incremental as it builds on existing edge analysis techniques.
The paper tackles license plate extraction by proposing a fast method based on edge analysis, achieving an accuracy rate of 98% on a vehicle database.
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.