SOFTWARE FOR RECOGNITION OF CAR NUMBER PLATE

Mohanad ABDULHAMID

moh1hamid@yahoo.com
Al-Hikma University, Karada Kharidge, Baghdad (Iraq)

Njagi KINYUA


University of Nairobi, P.O. Box 30197-00100, Nairobi (Kenya)

Abstract

The purpose of this paper is to design and implement an automatic number plate recognition system. The system has still images as the input, and extracts a string corresponding to the plate number, which is used to obtain the output user data from a suitable database. The system extracts data from a license plate and automatically reads it with no prior assumption of background made. License plate extraction is based on plate features, such as texture, and all characters segmented from the plate are passed individually to a character recognition stage for reading. The string output is then used to query a relational database to obtain the desired user data. This particular paper utilizes the intersection of a hat filtered image and a texture mask as the means of locating the number plate within the image. The accuracy of location of the number plate with an image set of 100 images is 68%.


Keywords:

recognition software, car number plate, design

Badr, A., & Abdelwahab, M. (2011). Automatic number plate recognition system. Annals of the University of Craiova, Mathematics and Computer Science Series, 38(1), 62–71.
  Google Scholar

Lin, Ch.-H., Lin, Y.-S., & Liu, W.-Ch. (2018). An efficient license plate recognition system using convolution neural networks. In 2018 IEEE International Conference on Applied System Invention (pp. 224–227). Japan: IEEE.
DOI: https://doi.org/10.1109/ICASI.2018.8394573   Google Scholar

Sharma, G. (2018). Performance Analysis of Vehicle Number Plate Recognition System Using Template Matching Techniques. Journal of Information Technology & Software Engineering, 8(2), 1–9.
DOI: https://doi.org/10.4172/2165-7866.1000232   Google Scholar

Silva, S. & Jung, C. (2018). License plate detection and recognition in unconstrained scenarios. In V. Ferrari, M. Hebert, C. Sminchisescu & Y. Weiss (Eds.), European Conference on Computer Vision (pp. 593–609). Springer, Cham.
DOI: https://doi.org/10.1007/978-3-030-01258-8_36   Google Scholar

Xie, F., & Zhang, M. (2018). A robust license plate detection and character recognition algorithm based on a combined feature extraction model and BPNN. Journal of Advanced Transportation, 2018, 1–14.
DOI: https://doi.org/10.1155/2018/6737314   Google Scholar

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Published
2020-03-30

Cited by

ABDULHAMID, M., & KINYUA, N. (2020). SOFTWARE FOR RECOGNITION OF CAR NUMBER PLATE. Applied Computer Science, 16(1), 73–84. https://doi.org/10.23743/acs-2020-06

Authors

Mohanad ABDULHAMID 
moh1hamid@yahoo.com
Al-Hikma University, Karada Kharidge, Baghdad Iraq

Authors

Njagi KINYUA 

University of Nairobi, P.O. Box 30197-00100, Nairobi Kenya

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