Abstract
Nowadays with the rapid increase in vehicles, identification of the vehicle and control the traffic become challenging issues in every country. Also, it is very difficult for a traffic police to identify the person who drives too fast, who violates the traffic rules and to identify whether the person is owner or thief from the moving vehicles. So, unable to catch and punish those kinds of people. Hence, there is a need for Automatic Vehicle License Plate Recognition (AVNPR) system. Though many LPR systems are available, still it is a challenging task due to unstructured license plate formats, language on plate, speed of vehicle and lightning effects. The main objective of AVNPR is to recognize the license plate using image processing techniques or optical character recognition by applying pytesseract OpenCV Python package. The main focus is on the detection of vehicle license plate, character segmentation and character recognition.
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Suneetha, K., Mounika Raj, K. (2021). Automatic Vehicle Number Plate Recognition System (AVNPR) Using OpenCV Python. In: Jyothi, S., Mamatha, D.M., Zhang, YD., Raju, K.S. (eds) Proceedings of the 2nd International Conference on Computational and Bio Engineering . Lecture Notes in Networks and Systems, vol 215. Springer, Singapore. https://doi.org/10.1007/978-981-16-1941-0_49
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DOI: https://doi.org/10.1007/978-981-16-1941-0_49
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