پیوندهای مفید
آمار
| تعداد نشریات | 9 |
| تعداد شمارهها | 452 |
| تعداد مقالات | 5,748 |
| تعداد مشاهده مقاله | 8,233,612 |
| تعداد دریافت فایل اصل مقاله | 6,751,293 |
Persian Car License Plate Recognition Using Deep Convolutional Neural Networks | ||
| AUT Journal of Electrical Engineering | ||
| دوره 57، Issue 2 (Special Issue)، 2025، صفحه 295-316 اصل مقاله (1.52 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2024.23296.5601 | ||
| نویسنده | ||
| Hossein Noori* | ||
| Department of Electrical Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran. | ||
| چکیده | ||
| Car license plate recognition plays a very important role in intelligent transportation systems. In this paper, a new car license plate recognition algorithm is proposed. To recognize the car license plate, first, a new dataset in different light conditions is collected and labeled. Then a new convolutional neural network is proposed to find the position of a car license plate in an image, named plate position detection network (PPDN). The characters on the plate are separated by a proposed algorithm after the position of the plate is determined. Since the Iranian car license plate includes both digits and letters, two other convolutional neural networks are proposed: one for digit recognition, named digit recognition network (DRN), and the other for letter recognition, named letter recognition network (LRN). All three networks are trained with related datasets. Simulation results show that the PPDN reaches 99.86% training accuracy, 99.75% validation accuracy, and 99.53% test accuracy. Also, DRN reaches 100% training accuracy, 99.6% validation accuracy, and 99.51 % test accuracy. In addition, LRN reaches 100% test accuracy, 99.45% validation accuracy, and 99.05% test accuracy. Finally, the accuracy of the network for plate recognition on the test data is 99.21%. | ||
| کلیدواژهها | ||
| Deep Learning؛ Object Detection؛ Pattern Recognition؛ Intelligent Transportation System | ||
| مراجع | ||
|
[1] A.H. Ashtari, M.J. Nordin, M. Fathy, An Iranian license plate recognition system based on color features, IEEE transactions on intelligent transportation systems, 15(4) (2014) 1690-1705.
[2] W. Jia, H. Zhang, X. He, M. Piccardi, Mean shift for accurate license plate localization, in: Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., IEEE, 2005, pp. 566-571.
[3] X. Shi, W. Zhao, Y. Shen, Automatic license plate recognition system based on color image processing, in: International conference on computational science and its applications, Springer, 2005, pp. 1159-1168.
[4] F. Wang, L. Man, B. Wang, Y. Xiao, W. Pan, X. Lu, Fuzzy-based algorithm for color recognition of license plates, Pattern Recognition Letters, 29(7) (2008) 1007-1020.
[5] V. Abolghasemi, A. Ahmadyfard, An edge-based color-aided method for license plate detection, Image and Vision Computing, 27(8) (2009) 1134-1142.
[6] F. Ramazankhani, M. Yazdian-Dehkordi, Iranian license plate detection using cascade classifier, in: 2019 27th Iranian conference on electrical engineering (ICEE), IEEE, 2019, pp. 1860-1863.
[7] F. Ramazankhani, M. Yazdian-Dehkordi, Iranian Vehicle License Plate Detection based on Cascade Classifier, Signal and Data Processing, 18(3) (2021) 77-90.
[8] S.S. Tabrizi, N. Cavus, A hybrid KNN-SVM model for Iranian license plate recognition, Procedia Computer Science, 102 (2016) 588-594.
[9] S. Poursiyah, H. Salami, M.R. Mohebbi, H. Tabatabaee, An Effective and Fast Iranian License Plate Detection Using Statistical and Geometrical Approaches, Advances in Science and Technology. Research Journal, 12(4) (2018).
[10] M.A. Khan, M. Sharif, M.Y. Javed, T. Akram, M. Yasmin, T. Saba, License number plate recognition system using entropy‐based features selection approach with SVM, IET Image Processing, 12(2) (2018) 200-209.
[11] Y. Wang, Z.-P. Bian, Y. Zhou, L.-P. Chau, Rethinking and designing a high-performing automatic license plate recognition approach, IEEE Transactions on Intelligent Transportation Systems, 23(7) (2021) 8868-8880.
[12] S.M. Silva, C.R. Jung, License plate detection and recognition in unconstrained scenarios, in: Proceedings of the European conference on computer vision (ECCV), 2018, pp. 580-596.
[13] A.R. Rashtehroudi, A. Shahbahrami, A. Akoushideh, Iranian license plate recognition using deep learning, in: 2020 international conference on machine vision and image processing (MVIP), IEEE, 2020, pp. 1-5.
[14] S.-L. Chen, C. Yang, J.-W. Ma, F. Chen, X.-C. Yin, Simultaneous end-to-end vehicle and license plate detection with multi-branch attention neural network, IEEE Transactions on Intelligent Transportation Systems, 21(9) (2019) 3686-3695.
[15] R. Laroca, E. Severo, L.A. Zanlorensi, L.S. Oliveira, G.R. Gonçalves, W.R. Schwartz, D. Menotti, A robust real-time automatic license plate recognition based on the YOLO detector, in: 2018 international joint conference on neural networks (ijcnn), IEEE, 2018, pp. 1-10.
[16] A. Tourani, A. Shahbahrami, S. Soroori, S. Khazaee, C.Y. Suen, A robust deep learning approach for automatic iranian vehicle license plate detection and recognition for surveillance systems, IEEE Access, 8 (2020) 201317-201330.
[17] M. Shahidi Zandi, R. Rajabi, Deep learning based framework for Iranian license plate detection and recognition, Multimedia Tools and Applications, 81(11) (2022) 15841-15858.
[18] H. Gholamalinejad, H. Khosravi, Irvd: A large-scale dataset for classification of iranian vehicles in urban streets, Journal of AI and Data Mining, 9(1) (2021) 1-9.
[19] G.-S. Hsu, A. Ambikapathi, S.-L. Chung, C.-P. Su, Robust license plate detection in the wild, in: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), IEEE, 2017, pp. 1-6.
[20] S. Rakhshani, E. Rashedi, H. Nezamabadi-pour, License plate recognition using deep learning, Journal of Machine Vision and Image Processing, 6(1) (2019) 31-46.
[21] C. Xu, H. Zhang, W. Wang, J. Qiu, License plate recognition system based on deep learning, in: 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), IEEE, 2020, pp. 1300-1303.
[22] J. Hendryli, D.E. Herwindiati, Automatic license plate recognition for parking system using convolutional neural networks, in: 2020 International Conference on Information Management and Technology (ICIMTech), IEEE, 2020, pp. 71-74.
[23] A. Ebrahimi, A. Amirkhani, A. A Raie, M.R. Mosavi, Car license plate recognition using color features of Persian license plates, Journal of Advances in Computer Research, 6(4) (2015) 27-38.
[24] M. Rahmani, M. Sabaghian, S.M. Moghadami, M.M. Talaie, M. Naghibi, M.A. Keyvanrad, IR-LPR: A Large Scale Iranian License Plate Recognition Dataset, in: 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE), IEEE, 2022, pp. 053-058.
[25] G. Karimi, Z. Ali Mohammadi, S. Najafi, S. Mousavi, D. Motiallah, Z. Azimifar, Real-Time Mobile Mixed-Character License Plate Recognition via Deep Learning Convolutional Neural Network, in: International Conference on Artificial Intelligence and Smart Vehicles, Springer, 2023, pp. 77-93.
[26] D. Giveki, O. Dalvand, H. Rastegar, Introducing a new dataset (Iranian Plate) for Iranian licence plate recognition, Journal of Machine Vision and Image Processing, 9(2) (2022) 81-95.
[27] S. Hatami, M. Sadedel, F. Jamali, Iranian License Plate Recognition Using a Reliable Deep Learning Approach, arXiv preprint arXiv:2305.02292, (2023).
[28] K. Branch, A novel morphological method for detection and recognition of vehicle license plates, American Journal of Applied Sciences, 6(12) (2009) 2066-2070.
[29] S.H.M. Kasaei, S.M.M. Kasaei, Extraction and recognition of the vehicle license plate for passing under outside environment, in: 2011 European Intelligence and Security Informatics Conference, IEEE, 2011, pp. 234-237.
[30] H. Khosravi, E. Kabir, Introducing a very large dataset of handwritten Farsi digits and a study on their varieties, Pattern recognition letters, 28(10) (2007) 1133-1141.
[31] A. El-Sawy, M. Loey, H. El-Bakry, Arabic handwritten characters recognition using convolutional neural network, WSEAS Transactions on Computer Research, 5(1) (2017) 11-19.
[32] A. Tourani, S. Soroori, A. Shahbahrami, A. Akoushideh, Iranis: A large-scale dataset of iranian vehicles license plate characters, in: 2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA), IEEE, 2021, pp. 1-5. | ||
|
آمار تعداد مشاهده مقاله: 1,032 تعداد دریافت فایل اصل مقاله: 1,080 |
||