Macau License Plate Character Segmentation Through ROI detection and Redundant Region Removal Method

Bingshu Wang, Yin Ping Zhao, Jiangbin Zheng, Shuang Feng

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

License plate character segmentation links the function between license plate detection module and character recognition module. Variable-length license plate character segmentation is a challenging task due to the variations of license plate styles. In this paper, our work is focused on the character segmentation task. It is based on the detection results of 'Region of Interest(ROI)' detection method. The main contributions include two parts. Firstly, a reference region is estimated according to candidate regions by median statistics of width and height. The reference region is used to compare with all the candidate regions, aiming to remove false positives. Secondly, a redundant region removal method is proposed. It is implemented by removing cross regions which are located at the same location of character. Experimental results on Macau license plates show that the proposed method achieves promising results with 99.37 % segmentation accuracy.

源语言英语
主期刊名Proceedings - 2021 IEEE/ACIS 21st International Fall Conference on Computer and Information Science, ICIS 2021-Fall
编辑Kailong Zhang, Qun Chen, Jiangbin Zheng, Simon Xu, Rei Zhang, Wencai Du, Shigang Li
出版商Institute of Electrical and Electronics Engineers Inc.
121-125
页数5
ISBN(电子版)9781728176796
DOI
出版状态已出版 - 2021
活动21st IEEE/ACIS International Fall Conference on Computer and Information Science, ICIS 2021-Fall - Xi�an, 中国
期限: 13 10月 202115 10月 2021

出版系列

姓名Proceedings - 2021 IEEE/ACIS 21st International Fall Conference on Computer and Information Science, ICIS 2021-Fall

会议

会议21st IEEE/ACIS International Fall Conference on Computer and Information Science, ICIS 2021-Fall
国家/地区中国
Xi�an
时期13/10/2115/10/21

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