ADVANTAGES OF AUTOMATED LICENSEPLATE RECOGNITION TECHNOLOGY

Authors

  • Muhammad BaballeAhmad
  • Umar Farouk Musa
  • Muntaka Dahiru
  • Mustapha Babatunde Abimbola

Keywords:

Safety, Plate Number Detection, Machine Learning, CrimeReduction, TrafficManagement, Recognition

Abstract

Automatic Number PlateRecognition (ANPR) is a technology that can be utilized by mall and movie theater parking management as well as toll booths on roads, expressways, etc. to expedite the toll collection process.Automated systems to retain vehicle information are becoming more and more important as the number of vehicles rises. It is imperative that communication be prioritized in order to effectively manage traffic and reduce crime. Number plate recognition is a dependable technique for automatic vehicle identification.With current algorithms, which are based on the concept of learning, developing adequate outcomes takes a long time and a lot of experience. An innovative use of machine learning is Automatic Number Plate Detection,which recognizes photos and transforms theminto text. Using picture segmentation, the system locates, picks up, and extracts the vehicle's image and number plate. Afterwards, optical character recognition technology is used to identify characters in the retrieved image. This technology is used in military zones, apartment buildings, and traffic surveillance.

Author Biographies

Muhammad BaballeAhmad

Department ofMechatronicsEngineering,NigerianDefence Academy (N.D.A),Kaduna, Nigeria

Umar Farouk Musa

Department of Architectural Technology, School of Enviromental Studies Gwarzo, Kano StatePolytechnic, Nigeria

Muntaka Dahiru

Department of Science Laboratory Technology, School of Technology, Kano State Polytechnic,Nigeria

Mustapha Babatunde Abimbola

Department of Electrical Engineering, Bayero University, Kano, Nigeria.

References

A.S. onga, R. Bolineni, H. Reddy, S. Korrapolu, V. J. Geddada, ?Vehicle Number Plate Recognition SystemUsing?,International Journal for Research in Applied Science & Engineering Technology (IJRASET),

ISSN: 2321-9653;Volume 10,Issue IV,Apr 2022,Available atwww.ijraset.com.

C. Anagnostopoulos, I. Anagnostopoulos, I. Psoroulas, V. Loumos, E. Kayafas, "License plate recognitionfromstill images and video sequences: A survey", IEEE Transactions on Intelligent TransportationSystems, vol.9, no.3, pp.377-391, 2008.

S. Du, M. Ibrahim, M. Shehata, W. Badawy, "Automatic license plate recognition (ALPR): A state-of-the-artreview", IEEE Transactions on Circuits and Systems for Video Technology, vol.23, no.2, pp.311-325,2013.

M. M Khan,MU. Ilyas,IR.Khan,SM. Alshomrani,SRahardja, ?A Review of License Plate RecognitionMethods Employing Neural Networks?,IEEE Acess, : DOI 10.1109/ACCESS.2023.3254365.

K. V. Vinayet al.,?Automatic Number Plate Recognitionfor Different Fonts and Non-Roman Script?,International Journal of Engineering Applied Sciences and Technology, Vol. 5, Issue 11, ISSN No. 2455-

, Pages 314-317,Published Online March 2021 in IJEAST (http://www.ijeast.com).

L. Liu, Y. Wang, W. Chi, ?Image Recognition Technology Based on Machine Learning?,10.1109/ACCESS.2020.3021590, IEEE Access.

A. K. Pantet al.,?Automatic Nepali Number Plate Recognition with Support Vector Machines?,at:

https://www.researchgate.net/publication/323999303.

D. Brunner, F. Schmid, ?Synthetic Data in Automatic Number Plate Recognition?,2022, at:https://www.researchgate.net/publication/362692462.

J. M. S. V. Ravi Kumar, B. Sujatha, N. Leelavathi,?Automatic Vehicle Number Plate Recognition SystemUsing Machine Learning?,IOP Conf. Series: Materials Science and Engineering 1074 (2021) 012012 IOPPublishing doi:10.1088/1757-899X/1074/1/012012.

G. Hajare, U. Kharche, P. Mahajan, A. Shinde,?Automatic Number Plate Recognition System for IndianNumber Plates using Machine Learning Techniques?,ITM Web of Conferences 44, 03044 (2022)

https://doi.org/10.1051/itmconf/20224403044.

S. Silva, C. Jung, ECCV 2018, ?License Plate Detection and Recognition in Unconstrained Scenarios? ,17(2018).

M. M. Shidore, S. P. Narote, IJCSNS, ?Number Plate Recognition for Indian Vehicles?, 11, 4 (2011).

Naren Babu, R., Sowmya, V., & Soman, K. P., ICICICT,?Indian Car Number Plate Recognition usingDeep Learning?, (2019).

S. Ghadage, S. Khedkar, IJERT,?A Review Paper on Automatic Number Plate Recognition System usingMachine Learning Algorithms?, 8:(4),2019.

Kashyap A., Suresh B., Patil A., Sharma S., & Jaiswal A., ICACCCN,?Automatic Number Plate

Recognition?, 6 (2008).

W. Devapriya, C. Nelson Kennedy Babu, T. Srihari, IJCIE, Indian License Plate Detection and RecognitionUsing Morphological Operation and Template Matching, 9, 7 (2015).

Kashyap A., Suresh B., Patil A., Sharma S., & Jaiswal A., ICACCCN, Automatic Number Plate

Recognition, 6 (2008).

K. Prema, P. Arivubrakan, V. Suganya, TJCME, Automatic Number Plate Recognition Using Deep

Learning,12, 3 (2021).

S. Tiwari, N. Choudhary, IJEAT, An Efficient Method for Indian Number Plate Recognition, 7, 5 (2017).

H. O. Latif, H. H. Yaba,?Plate Number Recognition based on Hybrid Techniques?,UHD Journal of

Science and Technology | July 2022 | Vol 6 | Issue 2.

A. Podorozhniak, N. Liubchenko, M. Sobol, D. Onishchenko,?Usage of Mask R-Cnn for Automatic

S. Tamane et al. (Eds.): ICAMIDA 2022, ACSR 105, pp. 149–156, 2023,https://doi.org/10.2991/978-94-6463-136-4_16.

https://www.folio3.ai/blog/benefits-of-using-an-automatic-license-plate-recognition-solution/#:~:text=Automatic%2C%20personalized%20ALPR%20systems%20use,are%20subject%20to%20human%20mistakes.

M. B. Ahmad, S. H. Ayagi, U. F. Musa, ?A Review of Automatic Number Plate Recognition?,GlobalJournal of Research in Engineering & Computer Sciences ISSN: 2583-2727 (Online) Volume 03| Issue 05 |

Sept.-Oct.2023 Journal homepage:https://gjrpublication.com/gjrecs/.

Published

2024-02-27

How to Cite

1.
Muhammad BaballeAhmad, Umar Farouk Musa, Muntaka Dahiru, Mustapha Babatunde Abimbola. ADVANTAGES OF AUTOMATED LICENSEPLATE RECOGNITION TECHNOLOGY. se [Internet]. 2024Feb.27 [cited 2025Sep.22];1(12):29-34. Available from: https://iphopen.org/index.php/se/article/view/71