ALPRS - A New Approach for License Plate Recognition using the Sift Algorithm

TL;DR

This paper introduces a novel license plate recognition method utilizing the SIFT algorithm for accurate plate localization and a rapid character recognition algorithm, achieving high success rates suitable for real-time applications.

Contribution

The paper's main contribution is integrating SIFT-based feature matching with spatial orientation analysis for improved license plate detection and a fast character recognition algorithm for real-time use.

Findings

High success rates in character localization and recognition

Effective real-time license plate recognition performance

Abstract

This paper presents a new approach for the automatic license plate recognition, which includes the SIFT algorithm in step to locate the plate in the input image. In this new approach, besides the comparison of the features obtained with the SIFT algorithm, the correspondence between the spatial orientations and the positioning associated with the keypoints is also observed. Afterwards, an algorithm is used for the character recognition of the plates, very fast, which makes it possible its application in real time. The results obtained with the proposed approach presented very good success rates, so much for locating the characters in the input image, as for their recognition.