References
1. Xie L, Ahmad T, Jin L, Liu Y, Zhang S (2018) A new cnn-based method for multidirectional car license plate detection. IEEE Trans Intell Transp Syst 19(2):507–517
2. Al-Shemarry MS, Li Y, Abdulla S (2018) Ensemble of adaboost cascades of 3 l-lbps
classifiers for license plates detection with low quality images. Expert Syst Appl 92:216–235
3. Laroca R, Severo E, Zanlorensi LA, Oliveira LS, Gonc¸alves GR, Schwartz WR, Menotti D
(2018) A robust real-time automatic license plate recognition based on the yolo detector.
arXiv preprint arXiv:1802.09567
4. Montazzolli S, Jung C (2017) Real-time brazilian license plate detection and recognition
using deep convolutional neural networks. In: 2017 30th SIBGRAPI conference on graphics,
patterns and images (SIBGRAPI), pp 55–62
5. Selmi Z, Halima MB, Alimi AM (2017) Deep learning system for automatic license plate
detection and recognition. In: 2017 14th IAPR international conference on document
analysis and recognition (ICDAR), vol 1. IEEE, pp 1132–1138
6. Haralick RM, Sternberg SR, Zhuang X (1987) Image analysis using mathematical
morphology. IEEE Trans Pattern Anal Mach Intell PAMI 9(4):532–550
7. Hsieh JW, Yu SH, Chen YS (2002) Morphology-based license plate detection from complex
scenes. In: 2002 Proceedings of 16th international conference on pattern recognition, vol 3.
IEEE, pp 176–179
8. Wu HHP, Chen HH, Wu RJ, Shen DF (2006) License plate extraction in low resolution
video. In: 18th International conference on pattern recognition, 2006. ICPR 2006, vol 1.
IEEE, pp 824–827
9. Yu S, Li B, Zhang Q, Liu C, Meng MQH (2015) A novel license plate location method
based on wavelet transform and emd analysis. Pattern Recogn 48(1):114–125
Fig. 6. Detection results on CCPD with our CMnet model
582
Y. Cheng et al.
1. Xie L, Ahmad T, Jin L, Liu Y, Zhang S (2018) A new cnn-based method for multidirectional car license plate detection. IEEE Trans Intell Transp Syst 19(2):507–517
2. Al-Shemarry MS, Li Y, Abdulla S (2018) Ensemble of adaboost cascades of 3 l-lbps
classifiers for license plates detection with low quality images. Expert Syst Appl 92:216–235
3. Laroca R, Severo E, Zanlorensi LA, Oliveira LS, Gonc¸alves GR, Schwartz WR, Menotti D
(2018) A robust real-time automatic license plate recognition based on the yolo detector.
arXiv preprint arXiv:1802.09567
4. Montazzolli S, Jung C (2017) Real-time brazilian license plate detection and recognition
using deep convolutional neural networks. In: 2017 30th SIBGRAPI conference on graphics,
patterns and images (SIBGRAPI), pp 55–62
5. Selmi Z, Halima MB, Alimi AM (2017) Deep learning system for automatic license plate
detection and recognition. In: 2017 14th IAPR international conference on document
analysis and recognition (ICDAR), vol 1. IEEE, pp 1132–1138
6. Haralick RM, Sternberg SR, Zhuang X (1987) Image analysis using mathematical
morphology. IEEE Trans Pattern Anal Mach Intell PAMI 9(4):532–550
7. Hsieh JW, Yu SH, Chen YS (2002) Morphology-based license plate detection from complex
scenes. In: 2002 Proceedings of 16th international conference on pattern recognition, vol 3.
IEEE, pp 176–179
8. Wu HHP, Chen HH, Wu RJ, Shen DF (2006) License plate extraction in low resolution
video. In: 18th International conference on pattern recognition, 2006. ICPR 2006, vol 1.
IEEE, pp 824–827
9. Yu S, Li B, Zhang Q, Liu C, Meng MQH (2015) A novel license plate location method
based on wavelet transform and emd analysis. Pattern Recogn 48(1):114–125
Fig. 6. Detection results on CCPD with our CMnet model
582
Y. Cheng et al.