Convolutional-Neural-Network Based License Plate Location Algorithm

Jiang Ce; Hu Anming; He Wei

doi:10.3788/LOP57.021010

[1] Du S, Ibrahim M, Shehata M et al. Automatic license plate recognition (ALPR): a state-of-the-art review[J]. IEEE Transactions on Circuits and Systems for Video Technology, 23, 311-325(2013).

[2] Zheng D N, Zhao Y N, Wang J X. An efficient method of license plate location[J]. Pattern Recognition Letters, 26, 2431-2438(2005).

[3] Shi X F, Zhao W Z, Shen Y H. Automatic license plate recognition system based on color image processing[M]. ∥Gervasi O, Gavrilova M L, Kumar V, et al. Computational science and its applications-ICCSA 2005. Lecture notes in computer science. Berlin, Heidelberg: Springer, 3483, 1159-1168(2005).

[4] Nathan V S L, Ramkumar J, Kamakshi Priya S. New approaches for license plate recognition system. [C]∥International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of, January 4-7, 2004, Chennai, India. New York: IEEE, 149-152(2004).

[5] Zhang B L, Tang H J. An approach to locate multi-license plates in complex vehicle images[J]. Acta Photonica Sinica, 36, 184-187(2007).

[6] Xie L L, Ahmad T, Jin L W et al. A new CNN-based method for multi-directional car license plate detection[J]. IEEE Transactions on Intelligent Transportation Systems, 19, 507-517(2018).

[7] Selmi Z, Halima M B, Alimi A M. Deep learning system for automatic license plate detection and recognition. [C]∥2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), November 9-15, 2017, Kyoto, Japan. New York: IEEE, 1132-1138(2017).

[8] Silva S M, Jung C R. License plate detection and recognition in unconstrained scenarios[M]. ∥Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science. Cham: Springer, 11216, 593-609(2018).

[9] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks. [C]∥Advances in Neural Information Processing Systems 28 (NIPS 2015), December 7-12, 2015, Montreal, Quebec, Canada. Canada: NIPS, 91-99(2015).

[10] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

[11] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

[12] Tong Y, Yang H C. Real-time traffic sign detection method based on improved convolution neural network[J]. Laser & Optoelectronics Progress, 56, 071003(2019).

[13] Lin T Y, Maire M, Belongie S et al. Microsoft COCO: common objects in context[M]. ∥Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8693, 740-755(2014).

[14] Russakovsky O, Deng J, Su H et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 115, 211-252(2015).

[15] Wu Y X, He K M. Group normalization. [C]∥Proceedings of the European Conference on Computer Vision (ECCV), September 8-14, 2018, Munich, Germany. New York: IEEE, 3-19(2018).

[16] Fei Y J, Shao F. Contrast adjustment based on image retrieval[J]. Laser & Optoelectronics Progress, 55, 051002(2018).

[17] Wang Y X, Diao M, Han C. Underwater image enhancement algorithm based on iterative histogram equalization with conventional light source[J]. Acta Photonica Sinica, 47, 1101002(2018).

[18] Li H. -01-21)[2019-05-19]. https:∥arxiv., org/abs/1601, 05610(2016).

[19] Hsu G S, Chen J C, Chung Y Z. Application-oriented license plate recognition[J]. IEEE Transactions on Vehicular Technology, 62, 552-561(2013).