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RECENT STUDY ON VEHICLE LICENSE PLATE DETECTION BASED ON R-CNN

, , and . IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue VI): 53-57 (June 2020)1. M. A. Rafique, W. Pedrycz, and M. Jeon, “Vehicle license plate detection using region-based convolutional neural networks,” Soft Computing,2018, Vol. 22, No. 19, pp. 6429-6440. 2. Y. N. Chen, C. C. Han, G. F. Ho, and K. C. Fan, “Facial/License Plate Detection Using a Two-level Cascade Classifier and a Single Convolutional Feature Map,” International Journal of Advanced Robotic Systems, 2015, Vol. 12, No. 12, pp. 183-198. 3. C. Gerber, and M. Chung, “Number Plate Detection with a Multi- Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices,” Journal of Information Processing Systems, 2016, Vol. 12, No. 1, pp. 100-108. 4. Y. Yuan, W. Zou, Y. Zhao, X. Wang, X. Hu, and N. Komodakis, “A Robust and Efficient Approach to License Plate Detection,” IEEE Transactions on Image Processing, 2017, Vol. 26, No. 3, pp. 1102-1114. 5. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Principal Visual Word Discovery for Automatic License Plate Detection,” IEEE Transactions on Image Processing, 2012, Vol. 21, No. 9, pp. 4269-4279. 6. B. Li, B. Tian, Y. Li, and D. Wen, “Component-Based License Plate Detection Using Conditional Random Field Model,” IEEE Transactions on Intelligent Transportation Systems, 2013, vol. 14, no. 4, pp. 1690-1699. 7. R. F. Prates, G. C. Chavez, W. R. Schwartz, and D. Menotti, “Brazilian License Plate Detection Using Histogram of Oriented Gradients and Sliding Windows,” International Journal of Computer Science & Information Technology, 2013, Vol 5, No 6, pp. 39-52. 8. R. Wang, N. Sang, R. Huang, and Y. Wang, "License plate detection using gradient information and cascade detectors,” Optik, 2014, Vol. 125, No. 1, pp. 186-190. 9. A. M. Ghaili, S. Mashohor, A. R. Ramli, and A. Ismail, “Vertical-Edge-Based Car-License-Plate Detection Method,” IEEE Transactions on Vehicular Technology, 2013, vol. 62, no. 1, pp. 26-38. 10. J. Tian, G. Wang, J. Liu, and Y. Xia, “License plate detection in an open environment by density-based boundary clustering,” Journal of Electronic Imaging, 2017, Vol. 26. No. 3, PP. 330171-3301711. 11. Anagnostopoulos, C., Anagnostopoulos, I., Loumos, V., Kayafas, E.: License plate-recognition from still images and video sequences: A survey. IEEE Trans. Intell. Transp. Syst. 9(3), 377–391 (2008) 12. Jia, W., Zhang, H., He, X.: Region-based License Plate Detection. J. Network and comput. Applications 30(4), 1324–1333 (2007) 13. Wang, S., Lee, H.-J.: A cascade framework for a real-time statistical plate recognition system. IEEE Trans. Inf. Forensics Security 2(2), 267–282 (2007) 14. Anagnostopoulos, C., Anagnostopoulos, I., Loumos, V., Kayafas, E.: A License Plate-Recognition Algorithm for Intelligent Transportation System Applications. IEEE Trans. Intell. Transp. Syst. 7(3), 377–392 (2006) 15. Zheng, D., Zhao, Y., Wang, J.: An Efficient Method of License Plate Location. Pattern Recognit. Lett. 26(15), 2431–2438 (2005) 16. Chang, S., Chen, L.-S., Chung, Y.-C., Chen, S.-W.: Automatic License Plate Recognition. IEEE Trans. Intell. Transp. Syst. 5(1), 42–53 (2004) 17. Deb, K., Chae, H.-U., Jo, K.-H.: Parallelogram and Histogram based Vehicle License Plate Detection. In: IEEE ICSMA, pp. 349–353. IEEE Press, New York (2008).
DOI: https://doi.org/10.26562/ijiris.2020.v0705.002

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Akila Jeeson Daniel

 

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