Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images

作者：

Highlights：

• This work used multiple cascades classifiers instead of one cascade classifier to:

• Detect different regions of interest values for license plate area.

• Extract multi features from LPs area under difficult problems.

• Enhance the performance of LPD system in terms of accuracy and processing time.

• The proposed method works with different data sets for the LPs image.

摘要

•This work used multiple cascades classifiers instead of one cascade classifier to:•Detect different regions of interest values for license plate area.•Extract multi features from LPs area under difficult problems.•Enhance the performance of LPD system in terms of accuracy and processing time.•The proposed method works with different data sets for the LPs image.

论文关键词：License plate detection (LPD),Region of interest (ROI),Adaboost Learning algorithm,Cascade classifier,Local binary pattern classifiers (LBP)

论文评审过程：Received 4 May 2017, Revised 22 August 2017, Accepted 11 September 2017, Available online 21 September 2017, Version of Record 29 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.036