Name
Title | ||
|---|---|---|
A two-stage deep neural network for multi-norm license plate detection and recognition. |
Abstract | ||
|---|---|---|
•A two-stage multi-norm LP detection and recognition system is proposed.•A semi-automatic annotation procedure of LP images is proposed.•A new public multi-norm LP images dataset is provided freely for research purpose.•The proposed system is robust and efficient in real-time applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.06.036 | Expert Systems with Applications |
Keywords | Field | DocType |
License plate detection and recognition,Semi-automatic annotation,Convolutional neural networks,Recurrent neural networks,YOLO,Deep learning | Data mining,Annotation,Pattern recognition,Segmentation,Computer science,Recurrent neural network,Artificial intelligence,Deep learning,Systems architecture,Artificial neural network,License,Minimum bounding box | Journal |
Volume | ISSN | Citations |
136 | 0957-4174 | 1 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yousri Kessentini | 1 | 100 | 15.39 |
| Mohamed Dhia Besbes | 2 | 1 | 0.38 |
| Sourour Ammar | 3 | 10 | 2.99 |
| Achraf Chabbouh | 4 | 1 | 0.38 |