This paper will describe about the literature of detecting the number plate of vehicles which are implemented using different methods and techniques. The use of this paper is that it helped to come across information about many vehicle number plate detection systems. To overcome all fraud activities in traffic and other vehicle related fraud, this system clearly helps.
Accuracy of this system is increasing because this system is created in many different ways by different people. It is essential because it is very important for the police as well as for traffic toll places, for paid parking ,checking of vehicles and also for retrieving vehicle information in day to day life.
Vehicle Number Plate Detection
93 Views
54 Downloads
Published 2021-01-30
Pages 69-72
Abstract
Keywords
Vehicle Number Plate Detection
Overcome fraud activities
References
- A. Mutholib, T. Gunawan, J. Chebil and M. Kartiwi, “Optimization of ANPR algorithm on Android mobile phone,” IEEE, 2013.
- Tlebaldinova, A. Denissova, N. Kassymkhanova and Dana, “Application of a scenario approach in development of a recognition system of vehicle identification numbers,” IEEE, 2015.
- Sulaiman, N. Razali, A. Jadin, M. Hadi, A. A. Mustafa, M. Ghazali and KH, “Development of Online Vehicle Plate Recognition System,” 2015
- Attah, A. ADEDIGBA, A. Aibinu and AM, “Development of Nigerian vehicles license plate recognition and classification system,” Journal of Science, Technology, Mathematics and Education, 2016.
- Tiwari, B. Sharma, A. Singh, M. Gautam, Rathi and Bhawana, “Automatic Vehicle Number Plate Recognition System using Matlab,” IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN, 2016.
- Prabhu, B. Sachin, Kalambur, Subramaniam, Sitaram and Dinkar, “Recognition of Indian license plate number from live stream videos,” international Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.
- Barnouti, N. Hazim, Naser, M. A. Sahib, Al-Dabbagh and S. S. Mahmood, “Automatic Iraqi license plate recognition system using back propagation neural network (BPNN),” Annual Conference on New Trends in Information & Communications Technology Applications (NTICT), 2017.
- K. Shevale and S. Gite, “Number Plate Recognition System using Artificial Neural Network,” International Journal of Pure and Applied Mathematics, 2018.
- Mohanan, Neeraja, Ahmad, Afaq, Al-Busaidi, S. Samir, Khiriji, Lazhar, Abdulghani, Amir, A. Nadabi and Muhammad, “Use of Mathematical Morphology in Vehicle Plate Detection,” Oriental Journal of Computer Science and Technology, 2018.
- Abdulhamid, Mohanad, Kinyua and Njagi, “Recognition for software of car number plate,” Applied Computer Science, 2020.
- Khazaee, S. Tourani, A. Soroori, S. Shahbahrami, A. Suen and C. Y, “A Real-Time License Plate Detection Method Using a Deep Learning Approach,” International Conference on Pattern Recognition and Artificial Intelligence, 2020
- Sathiyabhama, B. Revathi, T. Basker, N. Vinothkumar, RB and others, “Tracing of vehicle region and number plate detection using deep learning,” International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 2020.
- Castro-Zunti, R. D. Y{’e}pez, J. Ko and Seok-Bum, “License plate segmentation and recognition system using deep learning and OpenVINO,” IET Intelligent Transport Systems, 2020.
✓ Citation copied to clipboard