CVMar 7, 2013

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

arXiv:1303.1667v117 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of automated vehicle identification for traffic monitoring and security systems, but it appears incremental as it builds on existing SIFT-based methods.

The paper tackles license plate recognition by using the SIFT algorithm to locate plates and a fast character recognition method, achieving high success rates for both location and recognition in real-time applications.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes