Convolutional-Neural-Network Based License Plate Location Algorithm

Jiang Ce; Hu Anming; He Wei

doi:10.3788/LOP57.021010

Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21010(2020)

Convolutional-Neural-Network Based License Plate Location Algorithm

Jiang Ce^1,2,3, Hu Anming^1,3, and He Wei^1、*

¹Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China

²School of Information Science and Technology, ShanghaiTech University, Shanghai 200120, China

³University of Chinese Academy of Sciences, Beijing 100864, China

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Figures & Tables(9)

Fig. 1. Architecture of neural network

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Fig. 2. Architecture of vertex prediction network

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Fig. 3. Examples of data annotation

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Fig. 4. Examples of data augmentation

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Fig. 5. Examples of prediction results

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Fig. 6. Examples of prediction results using coordinate points

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Table 1. Accuracy of models in test 1 and test 2

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Table 1. Accuracy of models in test 1 and test 2

Model	I_IOU=0.6		I_IOU=0.7		I_IOU=0.8
Model	Test 1	Test 2	Test 1	Test 2	Test 1	Test 2
Ours	0.995	0.852	0.993	0.812	0.988	0.752
Ours-onlyuse point	0.985	0.652	0.983	0.611	0.979	0.598
WPOD^[8]	0.992	0.834	0.981	0.785	0.963	0.719
ALMD-YOLO^[6]	0.914	0.757	0.878	0.732	0.866	0.623
Model inRef. [18]	0.941	0.792	0.913	0.744	0.885	0.662
Model inRef. [19]	0.958	0.764	0.927	0.733	0.914	0.631

Table 2. Accuracy of proposed model under correct rectangular labeling
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Table 2. Accuracy of proposed model under correct rectangular labeling
Model I_IOU=0.6 I_IOU=0.7 I_IOU=0.8
Test 1 Test 2 Test 1 Test 2 Test 1 Test 2
Ours 0.997 0.995 0.994 0.993 0.993 0.992

Table 3. Accuracy of two models in test 1 and test 2
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Table 3. Accuracy of two models in test 1 and test 2
Model I_IOU=0.6 I_IOU=0.7 I_IOU=0.8
Test 1 Test 2 Test 1 Test 2 Test 1 Test 2
Faster R-CNN 0.998 0.854 0.991 0.818 0.918 0.755
Ours 0.993 0.852 0.988 0.818 0.905 0.753

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Jiang Ce, Hu Anming, He Wei. Convolutional-Neural-Network Based License Plate Location Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21010

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