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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45329

Automatic Number Plate Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45329

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MADS

Mr. Anup D. Sonawane

MPS

Mr. Piyush Sonawane

MKW

Mr. Kalpesh Wagh

MTA

Mr. Tushar Aher

MP

Mahavir Polytechnic

N

Nashik

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Abstract

– The Automatic Number Plate Recognition (ANPR) system is designed to detect and recognize vehicle number plates efficiently. Using a custom-trained YOLOv8 model, the system accurately detects number plates in various conditions, including low-light and partially obscured environments. For character recognition, the project leverages PaddleOCR, ensuring precise text extraction even in blurred or challenging scenarios. The system operates independently without requiring requests to external websites, making it more efficient and secure. Detected data such as number plate characters, date, and time are stored in a MySQL database for easy access and management.

KEYWORDS

ANPR vehicle Plate detection Accuracy MySQL YOLOv8 AI OCR Image Processing Computer Vision Advanced Number-plate Recognition Camera

Cite This Article

Mr. Anup D. Sonawane, Mr. Piyush Sonawane, Mr. Kalpesh Wagh, Mr. Tushar Aher, Mahavir Polytechnic, Nashik, "Automatic Number Plate Recognition," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

3/16/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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