Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR

Abdullah Al Maruf; Aditi Golder; Maryam Sabah Naser; Ahmad Jainul Abidin; Ananna Alom Chowdhury Giti; Zeyar Aung

doi:10.1007/978-981-99-9524-0_25

Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR

Abdullah Al Maruf, Aditi Golder, Maryam Sabah Naser, Ahmad Jainul Abidin, Ananna Alom Chowdhury Giti, Zeyar Aung

Jahangirnagar University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The traffic issue in Bangladesh is one of the strongest and most demanding issues in city surveillance today. Finding and separating automobiles on the side of the road and in the parking lot has become more crucial as Bangladesh’s traffic congestion problem worsens at an alarming rate. There is now a lot of study being done on the topic of object detection and classification. The detection of vehicles and the recognition of license plates have been the subject of numerous studies. But there are still certain restrictions. Locating the double-row number plate accurately is one of them. In this study, we proposed a technique for locating both single-row and double-row license plates as well as detecting the vehicle type. The suggested model, YOLOv4 and OCR (optical character recognition) Tesseract can be utilized to create a real-time system and has good accuracy and inference time for a variety of illumination and style of Bangladeshi number plates. The model showed a mAP value of almost 97%, and the other evaluation metrics performance is also acceptable. Our proposed model outperformed the prior system.

Original language	British English
Title of host publication	Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023
Editors	Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	331-342
Number of pages	12
ISBN (Print)	9789819995233
DOIs	https://doi.org/10.1007/978-981-99-9524-0_25
State	Published - 2024
Event	2nd International Conference on Advances in Data-driven Computing and Intelligent Systems, ADCIS 2023 - BITS Pilani, India Duration: 21 Sep 2023 → 23 Sep 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	891
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Advances in Data-driven Computing and Intelligent Systems, ADCIS 2023
Country/Territory	India
City	BITS Pilani
Period	21/09/23 → 23/09/23

Keywords

Bangladesh
Deep learning
Object detection
OCR
Vehicle
YOLOv4

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-9524-0_25

Cite this

Maruf, A. A., Golder, A., Naser, M. S., Abidin, A. J., Giti, A. A. C., & Aung, Z. (2024). Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR. In S. Das, S. Saha, C. A. Coello Coello, & J. C. Bansal (Eds.), Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023 (pp. 331-342). (Lecture Notes in Networks and Systems; Vol. 891). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-9524-0_25

Maruf, Abdullah Al ; Golder, Aditi ; Naser, Maryam Sabah et al. / Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR. Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. editor / Swagatam Das ; Snehanshu Saha ; Carlos A. Coello Coello ; Jagdish C. Bansal. Springer Science and Business Media Deutschland GmbH, 2024. pp. 331-342 (Lecture Notes in Networks and Systems).

@inproceedings{7ce6539469ea42f98c8106adb3cabfc2,

title = "Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR",

abstract = "The traffic issue in Bangladesh is one of the strongest and most demanding issues in city surveillance today. Finding and separating automobiles on the side of the road and in the parking lot has become more crucial as Bangladesh{\textquoteright}s traffic congestion problem worsens at an alarming rate. There is now a lot of study being done on the topic of object detection and classification. The detection of vehicles and the recognition of license plates have been the subject of numerous studies. But there are still certain restrictions. Locating the double-row number plate accurately is one of them. In this study, we proposed a technique for locating both single-row and double-row license plates as well as detecting the vehicle type. The suggested model, YOLOv4 and OCR (optical character recognition) Tesseract can be utilized to create a real-time system and has good accuracy and inference time for a variety of illumination and style of Bangladeshi number plates. The model showed a mAP value of almost 97%, and the other evaluation metrics performance is also acceptable. Our proposed model outperformed the prior system.",

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Maruf, AA, Golder, A, Naser, MS, Abidin, AJ, Giti, AAC & Aung, Z 2024, Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR. in S Das, S Saha, CA Coello Coello & JC Bansal (eds), Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. Lecture Notes in Networks and Systems, vol. 891, Springer Science and Business Media Deutschland GmbH, pp. 331-342, 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems, ADCIS 2023, BITS Pilani, India, 21/09/23. https://doi.org/10.1007/978-981-99-9524-0_25

Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR. / Maruf, Abdullah Al; Golder, Aditi; Naser, Maryam Sabah et al.
Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. ed. / Swagatam Das; Snehanshu Saha; Carlos A. Coello Coello; Jagdish C. Bansal. Springer Science and Business Media Deutschland GmbH, 2024. p. 331-342 (Lecture Notes in Networks and Systems; Vol. 891).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Maruf AA, Golder A, Naser MS, Abidin AJ, Giti AAC, Aung Z. Development of Automatic Number Plate Recognition System of Bangladeshi Vehicle Using Object Detection and OCR. In Das S, Saha S, Coello Coello CA, Bansal JC, editors, Advances in Data-Driven Computing and Intelligent Systems - Selected Papers from ADCIS 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 331-342. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-9524-0_25