Automatic Detection and Recognition of Car Plates Based on Cascade Classifier
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The study consists of video clips of all cars parked in the selected area. The studied camera height is1.5 m, and the video clips are 18video clips. Images are extracted from the video clip to be used for training data for the cascade method. Cascade classification is used to detect license plates after the training step. Viola-jones algorithm was applied to the output of the cascade data for camera height (1.5m). The accuracy was calculated for all data with different weather conditions and local time recoding in two ways. The first used the detection of the car plate based on the video clip, and the accuracy was 100%. The second is using the clipped images stored in the positive file, based on the training file (XML file), where the accuracy was 99.8%.
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SHASHIRANGANA, J.; PADMASIRI, H.; MEEDENIYA, D.; PERERA, C.; Automated license plat recognition: a survey on methods and techniques. IEEE Access 9:11203-11225. DOI:10.1109/ACCESS.2020.3047929
Adarsh, P; Rathi, P; Kumar, M.; Yolo v3- tiny: Object detection and recognition using one stage improved model. Conference: 2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS. 202, 687–694.
Albiol, A.; Sanchis, L.; Mossi, J. M.; Detection of Parked Vehicles Using Spatiotemporal Maps, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12, 4.
Krizhevsky, A.; Sutskever, I.; Hinton, G. E.; Image Net classification with deep convolutional neural networks. NIPS'12: Proceedings of the 25th International Conference on Neural Information Processing Systems, 2012,1097–1105.
Ali, G. K.; Developing Recognition System for New Iraqi License Plate, Tikrit Journal of Engineering Sciences. 2018, 25, 1, 7 – 10.
Saleque, A. M.; Chowdhury, F. S.; Md. Ashraf Khan, R.; Kabir, R.; AKM. Bahalul, H.; Bengali License Plate Detection using Viola-Jones Algorithm. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN. 2019, 9, 2, 2278-3075.
Ibtissam, S.; Wahban, A.; Issam, A.; Abdel l. H.; An automated license plate detection and recognition system based on wavelet decomposition and CNN, journal homepage:www.elsevier.com/journals/array/2590-0056/open-access-journal, 2020, 8,100040.
Tae-Gu, K.; Byoung-Ju ,Y.; Tae-Hun, K.; Jae-Young, L.; Kil-Houm, P.;Yoosoo, J.; Hyun, D. K.; Recognition of Vehicle License Plates Based on Image Processing, MDPI,2021;Appl. Sci. , 11,14, 6292.
Mahmood, Z.; Khurram K.; Khan U.; Syed H.; Adil, S. S.A.; and Mohsin S.; Towards Automatic License Plate Detection; Sensors . 2022, 22, 3, 1245. https:// doi.org/10.3390/ s2203 1245.
Hermawati, F. A.; Koesdijarto, R.; A Real Time License Plate Detection for Parking Access. Telkomnika: Indonesian Journal of Electrical Engineering, 2010, 8, 2, 97-106
Chen, Y. N.; Han, C. C.; Ho1, G. F.; Fan, K. C.; Facial/License Plate Detection Using a Two-level Cascade Classifier and a Single Convolutional Feature Map. International Journal of Advanced Robotic Systems, Int J Adv Robot Syst, 2015. 12:183 | doi: 10.5772/61477.
Hrvoje, R.; Petra, G.; License plate detection for preserving privacy using Haar classifiers, Faculty of Organization and Informatics , Central European Conference on Information and Intelligent Systems.2015, 153 -157.
Shetty, B.; Bhoomika, A.; Rebeiro, D.; Ramyashree, J.; Facial recognition using Haar cascade and LBP classifiers. Global Transitions Proceedings, 2021, 2, 2, 330-335.
Zhao, Y.; Jing, G.; Liu C.; Han, S.; Gao, Y.; Qingmao, H.; License Plate Location Based on Haar-like Cascade Classifiers and Edges, Second WRI Global Congress on Intelligent Systems, 2010, 978-0-7695-4304-8/10 $26.00 © 2010 IEEE, DOI 10.1109/GCIS.2010.55.