Chinese License Plates Recognition Method Based on A Robust and Efficient Feature Extraction and BPNN Algorithm
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 012022 |
| Journal / Publication | Journal of Physics: Conference Series |
| Volume | 1004 |
| Online published | 25 Apr 2018 |
| Publication status | Published - 2018 |
Conference
| Title | 2nd International Conference on Machine Vision and Information Technology, CMVIT 2018 |
|---|---|
| Place | Hong Kong |
| Period | 23 - 25 February 2018 |
Link(s)
| DOI | DOI |
|---|---|
| Attachment(s) | Documents
Publisher's Copyright Statement
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| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85047805269&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(0d422523-8c08-46d5-be39-5730829327ce).html |
Abstract
The prosperity of license plate recognition technology has made great contribution to the development of Intelligent Transport System (ITS). In this paper, a robust and efficient license plate recognition method is proposed which is based on a combined feature extraction model and BPNN (Back Propagation Neural Network) algorithm. Firstly, the candidate region of the license plate detection and segmentation method is developed. Secondly, a new feature extraction model is designed considering three sets of features combination. Thirdly, the license plates classification and recognition method using the combined feature model and BPNN algorithm is presented. Finally, the experimental results indicate that the license plate segmentation and recognition both can be achieved effectively by the proposed algorithm. Compared with three traditional methods, the recognition accuracy of the proposed method has increased to 95.7% and the consuming time has decreased to 51.4ms.
Research Area(s)
Citation Format(s)
Chinese License Plates Recognition Method Based on A Robust and Efficient Feature Extraction and BPNN Algorithm. / Zhang, Ming; Xie, Fei; Zhao, Jing et al.
In: Journal of Physics: Conference Series, Vol. 1004, 012022, 2018.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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