Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Automatic Number Plate Recognition Using Machine Learning

Authors
A. M. Pujar1, *, Poornima B. Kulkarni1
1Department of CSE, Walchand Institute of Technology, Solapur, India
*Corresponding author. Email: arkulkarni@witsolapur.org
Corresponding Author
A. M. Pujar
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_16How to use a DOI?
Keywords
Machine Learning; IR Sensors; Character Segmentation; Character Recognition; R-CNN; OCR
Abstract

Automatic number plate recognition makes use of Image processing and Machine learning technology to detect vehicle numbers irrespective of climatic conditions. As the number of vehicles is increasing day by day, it’s necessary to consider safety measures. It is used in various fields like traffic control, automatic road tax collection at toll areas and vehicle parking systems in crowded areas. The goal of the proposed system is to develop a capable automatic authorized vehicle recognition system that makes use of the vehicle number plate. For detecting number plate, an infrared (IR) sensor is used, which helps in taking clear images from a camera. Taking images of moving vehicles is the most important and difficult task. Character segmentation is used to extract the vehicle number plate region from an image by using R-CNN method. The Optical Character Recognition (OCR) method is used for identifying the accurate character. The collected data is then compared with the respective authority databases to investigate specific information like vehicle owner, registration location, address and so on. If the vehicle details match those in the database, then only gate barricade is opened. Through this system, criminal activities can be minimized and road safety measures will be considered. The system tries to promote the efficiency and accuracy of number plate detection over climatic conditions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_16
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_16How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - A. M. Pujar
AU  - Poornima B. Kulkarni
PY  - 2023
DA  - 2023/05/01
TI  - Automatic Number Plate Recognition Using Machine Learning
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 149
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_16
DO  - 10.2991/978-94-6463-136-4_16
ID  - Pujar2023
ER  -