Abstract
Number plate recognition is a very interesting and demanding research area from previous years. Number plate recognition utilizes optical character recognition on images to recognize and read number plates of cars in text files. The number plate recognition system is very useful in many vehicles security-related departments. Traffic police use the system to obtain details of vehicles violating traffic rules. It is also used for automatic toll collection systems and car parking systems. The system needs to capture the number plate before doing any recognition. The cameras used to capture the number plates make use of infrared lighting to capture at any time of day. Flashes are also used to ensure the accurate capturing of number plates. This work implements vehicle number plate recognition in matlab.
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The authors would like to thank Sol Plaatje University for providing infrastructure for this work.
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Obagbuwa, I.C., Zibi, V.M., Makade, M. (2022). Vehicle Number Plate Recognition System. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-19-3089-8_4
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DOI: https://doi.org/10.1007/978-981-19-3089-8_4
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