Build an effective system for container code recognition
Tác giả
Tài liệu tham khảo
[1] Li, Y., Li, H., Gao, G.: Towards end-to-end container code recognition. Multimed. Tools Appl. 81, 15901–15918 (2022)
[2] Zhang, R., Bahrami, Z., Wang, T., Liu, Z.: An adaptive deep learning framework for shipping container code localization and recognition. IEEE Trans. Instrum. Meas.Instrum. Meas. 70, 1–13 (2021)
[3] Nguyen, D., Nguyen, D., Nguyen, T., Ngo, K., Cao, H., Vuong, T., Quan, T.: Automatic container code recognition using MultiDeep pipeline. In: International Conference on Computational Collective Intelligence, pp. 139–153 (2020)
[4] Cao, L., Gai, Z., Liu, E., Gao, H., Li, H., Yang, L., Li, H.: Automatic container code recognition system based on geometrical clustering and spatial structure template matching. In: Lecture Notes in Electrical Engineering, vol. 463, pp. 2198–2204 (2019)
[5] Zhiming, W., Wuxi, W., Yuxiang, X.: Automatic container code recognition via faster-RCNN. In: International Conference on Control, Automation and Robotics, pp. 870–874 (2019)
[6] Jiwei, W., Jianming, G., Xueqi, L.: Key methods of recognizing container number automatically using video stream in intelligent tally. In: Lecture Notes in Electrical Engineering, vol. 593, pp. 10–17 (2019)
[7] Li, C., Liu, S., Xia, Q., Wang, H., Chen, H.: Automatic container code localization and recognition via an efficient code detector and sequence recognition. In: IEEE International Conference on Advanced Intelligent Mechatronics, pp. 532–537 (2019)
[8] Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Computer Vision and Pattern Recognition (2019). arXiv:1904.01941
[9] Liu, Y., Li, T., Jiang, L., Liang, X.: Container-code recognition system based on computer vision and deep neural networks. In: AIP Conference Proceedings (2018)
[10] Verma, A., Sharma, M., Hebbalaguppe, R., Hassan, E., Vig, L.: Automatic container code recognition via spatial transformer networks and connected component region proposals. In: IEEE International Conference on Machine Learning and Applications, pp. 728–733 (2016)
[11] Wang, Z., Ma, S.: Container code detection by deep convolutional network. In: Global Conference on Mechanics and Civil Engineering, vol. 132, pp. 82–87 (2017)
[12] Mei, L., Guo, J., Liu, Q., Lu, P.: A novel framework for container code-character recognition based on deep learning and template matching. In: International Conference on Industrial Informatics—Computing Technology, Intelligent Technology, Industrial Information Integration, pp. 78–82 (2016)
[13] Yoon, Y., Ban, K.D., Yoon, H., Kim, J.: Automatic container code recognition from multiple views. ETRI J. 38, 767–775 (2016)
[14] Wu, W., Liu, Z., Chen, M., Liu, Z., Wu, X., He, X.: A new framework for container code recognition by using segmentation-based and HMM-based approaches. Int. J. Pattern Recognit. Artif. Intell. 29 (2015)
[15] Koo, K.M., Cha, E.Y.: A novel container ISO-code recognition method using texture clustering with a spatial structure window. Int. J. Softw. Eng. Its Appl. 7, 51–62 (2012)
[16] Wu, W., Liu, Z., Chen, M., Yang, X., He, X.: An automated vision system for container-code recognition. Expert Syst. Appl. 39, 2842–2855 (2012)
[17] Kim, K.B., Woo, Y.W., Yang, H. K.: An intelligent system for container image recognition using ART2-based self-organizing supervised learning algorithm. In: Asia-Pacific Conference on Simulated Evolution and Learning. LNCS, vol. 4247, pp. 897–904 (2006)