article · 2016
A perspective correction method based on the bounding rectangle and least square fitting
Bao Yang, Jesse S. Jin, Fei Li, Xian-Feng Han, Wei Tong, Mingjie Wang
Cited by 7Abstract and details only
Abstract
Although Automatic License Plate Recognition (ALPR) systems have achieved high recognition speed and efficiency, perspective distortion may still affect the accuracy and reliability of ALPR due to the uncertainty of camera shooting angle. Some existing license plate correction methods are computational expensive and low robust. We proposed a perspective correction method based on the bounding rectangle and least square fitting. We extracted the bounding rectangle and the minimum bounding rectangle of each character. We use the least square method to fit a line for key points. Finally, the approach uses four vertices of license plate to get perspective transformation matrix and correct the distorted images. The results of our experiments show that our method is fast, accurate and robust.
Cite this paper
Yang, B., Jin, J. S., Li, F., Han, X.-F., Tong, W., & Wang, M. (2016). A perspective correction method based on the bounding rectangle and least square fitting. https://doi.org/10.1109/iccwamtip.2016.8079851
Yang, Bao, et al. “A perspective correction method based on the bounding rectangle and least square fitting.” 2016, pp. 260–64, https://doi.org/10.1109/iccwamtip.2016.8079851.
Yang, Bao, Jesse S. Jin, Fei Li, Xian-Feng Han, Wei Tong, and Mingjie Wang. 2016. “A perspective correction method based on the bounding rectangle and least square fitting.” https://doi.org/10.1109/iccwamtip.2016.8079851.
Yang, B. et al. (2016) ‘A perspective correction method based on the bounding rectangle and least square fitting’. Available at: https://doi.org/10.1109/iccwamtip.2016.8079851.
@article{yang2016perspective,
title = {{A perspective correction method based on the bounding rectangle and least square fitting}},
author = {Yang, Bao and Jin, Jesse S. and Li, Fei and Han, Xian-Feng and Tong, Wei and Wang, Mingjie},
pages = {260--264},
year = {2016},
doi = {10.1109/iccwamtip.2016.8079851}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.