Recent Developments in Automatic Number Plate Detection and Recognition
Keywords:
Automatic Number Plate Recognition (ANPR), surveillance, image pre-processing, Gaussian Blur method, Optical character reader (OCR).Abstract
Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license numbers. ANPR can be used in the detection of stolen vehicles. The detection of stolen vehicles can be done in an efficient manner by using the ANPR systems located in the highways. This method presents a recognition method in which the vehicle plate image is obtained by the digital cameras and the image is processed to get the number plate information. An image of a vehicle is captured and processed using image pre-processing algorithm. In this context, the number plate area is localized using edge detection method and the characters acquired are segmented using segmentation method. The segmented characters are passed to Optical character reader (OCR) which gives exact characters of the number plate and are stored in database. The image pre-processing is done using Gaussian Blur method, conversion of RGB (Red, Green, Blue) to grayscale, Edge detection using sobel followed by contour detection and license plate is extracted. OCR is run on the Region of Interest (ROI) given by the contour analysis. The OCR provides the vehicle’s num-ber obtained from the number plate and is stored in the database which is used for surveillance and tracking vehicle’s location. The software used in the process is Python version 3 and different python libraries like Tesseract OCR, OpenCV.
References
A. S. Tote, S. S. Pardeshi, and A. D. Patange, "Auto3.matic Numb Plate Detection Using TensorFlow in Indian Scenario: An Optical Character Recognition Approach," Materials Today: Proceedings, vol. 72, pp. 1073-1078, 2023. Available from: https://doi.org/10.1016/j.matpr.2022.09.165
Y. Shambharkar, S. Salagrama, K. Sharma, O. Mishra, and D. Parashar, "An Automatic Framework for Number Plate Detection Using OCR and Deep Learning Approach," International Journal of Advanced Computer Science and Applications, vol. 14, no. 4, 2023. Available from: https://tinyurl.com/3zyppk95
M. A. Jawale, P. William, A. B. Pawar, and N. Marriwala, "Implementation of Number Plate Detection System for Vehicle Registration Using IoT and Recognition Using CNN," Measurement: Sensors, vol. 27, p. 100761, 2023. Available from: https://doi.org/10.1016/j.measen.2023.100761
M. Mozumder, S. Biswas, L. Vijayakumari, R. Naresh, C. V. Kumar, and G. Karthika, "A Hybrid Edge Algorithm for Vehicle License Plate Detection," in International Conference on Intelligent Sustainable Systems, Singapore: Springer Nature Singapore, pp. 209-219, Feb. 2023. Available from: https://doi.org/10.1007/978-981-99-1726-6_16
M. Khinchi and C. Agarwal, "A Review on Automatic Number Plate Recognition Technology and Methods," in Proc. International Conference on Intelligent Sustainable Systems (ICISS), pp. 363-366, 2019. Available from: https://doi.org/10.1109/ISS1.2019.8908014
S. Sasi, S. Sharma, and A. N. Cheeran, "Automatic Car Number Plate Recognition," in Proc. International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1-6, 2017, Available from: https://doi.org/10.1109/ICIIECS.2017.8275893.
A. Gautam, D. Rana, S. Aggarwal, S. Bhosle, and H. Sharma, "Deep Learning Approach to Automatically Recognise License Number Plates," Multimedia Tools and Applications, vol. 82, no. 20, pp. 31487-31504, 2023. Available from: https://doi.org/10.1007/s11042-023-15020-w
R. K. Prajapati, Y. Bhardwaj, R. K. Jain, and K. K. Hiran, "A Review Paper on Automatic Number Plate Recognition Using Machine Learning: An In-Depth Analysis of Machine Learning Techniques in Automatic Number Plate Recognition: Opportunities and Limitations," in 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), pp. 527-532, Apr. 2023. Available from: https://doi.org/10.1109/CICTN57981.2023.10141318
R. Mittal and A. Garg, "Text Extraction Using OCR: A Systematic Review," in Proc. Second International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 357-362, 2020, Available from: https://doi.org/10.1109/ICIRCA48905.2020.9183326
F. Ali, H. Rathor, and W. Akram, "License Plate Recognition System," in Proc. International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 1053-1055, 2021.
N. P. Ap, T. Vigneshwaran, M. S. Arappradhan, and R. Madhanraj, "Automatic Number Plate Detection in Vehicles sUsing Faster R-CNN," in Proc. International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-6, 2020. Available from: https://doi.org/10.1109/ICSCAN49426.2020.9262400
R. Laroca et al., "On the Cross-Dataset Generalization in License Plate Recognition," https://doi.org/10.48550/arXiv.2201.00267.
L. Mufti and S. A. A. Shah, "Automatic Number Plate Recognition: A Detailed Survey of Relevant Algorithms," Sensors, vol. 21, no. 9, p. 3028, 2021. Available from: https://doi.org/10.3390/s21093028
V. Gnanaprakash, N. Kanthimathi, and N. Saranya, "Automatic Number Plate Recognition Using Deep Learning," in IOP Conference Series: Materials Science and Engineering, vol. 1084, no. 1, 2021, IOP Publishing. Available from: https://doi.org/10.1088/1757-899X/1084/1/012027
J. Tang et al., "Automatic Number Plate Recognition (ANPR) in Smart Cities: A Systematic Review on Technological Advancements and Application Cases," Cities, vol. 129, 2022. Available from: https://doi.org/10.1016/j.cities.2022.103833
J. M. Ravi Kumar, B. Sujatha, and N. Leelavathi, "Automatic Vehicle Number Plate Recognition System Using Machine Learning," in IOP Conference Series: Materials Science and Engineering, vol. 1074, no. 1, 2021, IOP Publishing. Available from: https://doi.org/10.1088/1757-899X/1074/1/012012
J. Shashirangana, "Automated License Plate Recognition: A Survey on Methods and Techniques," IEEE Access, vol. 9, pp. 11203-11225, 2020. Available from: https://doi.org/10.1109/ACCESS.2020.3047929
A. O. Salau, T. K. Yesufu, and B. S. Ogundare, "Vehicle Plate Number Localization Using a Modified GrabCut Algorithm," Journal of King Saud University-Computer and Information Sciences, vol. 33, no. 4, pp. 399-407, 2021. Available from:https://doi.org/10.1016/j.jksuci.2019.01.011
B. Mouli Chandra et al., "Recognition of Vehicle Number Plate Using Matlab," Journal of University of Shanghai for Science and Technology, vol. 23, no. 2, pp. 363-370, 2021. Available from: https://jusst.org/wp-content/uploads/2021/02/RECOGNITION-OF-VEHICLE-NUMBER-PLATE-USING-MATLAB.pdf
P. Kaur et al., "Automatic License Plate Recognition System for Vehicles Using a CNN," Computers, Materials & Continua, vol. 71, no. 1, 2022. Available from: https://shorturl.at/JEtLF
N.-A. Alam et al., "Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks," Technologies, vol. 9, no. 1, 2021. Available from: https://doi.org/10.3390/technologies9010009
S. M. Silva and C. R. Jung, "A Flexible Approach for Automatic License Plate Recognition in Unconstrained Scenarios," IEEE Transactions on Intelligent Transportation Systems, 2021. https://doi.org/10.1109/TITS.2021.3055946
C. Henry, S. Y. Ahn, and S.-W. Lee, "Multinational License Plate Recognition Using Generalized Character Sequence Detection," IEEE Access, vol. 8, 2020 Available from: https://doi.org/10.1109/ACCESS.2020.2974973
D. M. F. Izidio et al., "An Embedded Automatic License Plate Recognition System Using Deep Learning," Design Automation for Embedded Systems, 2020 Available from: https://doi.org/10.1007/s10617-019-09230-5.
V. Kukreja, D. Kumar, and A. Kaur, "GAN-Based Synthetic Data Augmentation for Increased CNN Performance in Vehicle Number Plate Recognition," in 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020. Available from: https://doi.org/10.1109/ICECA49313.2020.9297625
A. Hamdi, Y. K. Chan, and V. C. Koo, "A New Image Enhancement and Super Resolution Technique for License Plate Recognition," IEEE Transactions on Intelligent Transportation Systems, 2021. Available from: https://www.cell.com/heliyon/fulltext/S2405-8440(21)02444-0
R. D. Castro-Zunti, J. Yépez, and S.-B. Ko, "License Plate Segmentation and Recognition System Using Deep Learning and OpenVINO," IET Intelligent Transport Systems, vol. 14, no. 2, 2020. Available from: https://doi.org/10.1049/iet-its.2019.0481
C. Tu and S. Du, "A Hierarchical RCNN for Vehicle and Vehicle License Plate Detection and Recognition," International Journal of Electrical and Computer Engineering, vol. 12, no. 1, 2022. Available from: https://doi.org/10.11591/ijece.v12i1.pp731-737
