Sakshi Trivedi,
Parul Panchal,
Tushar Galaiya,
- Student, Department of Electronics, Birla Vishvakarma Mahavidyalaya Engineering College (BVM), Anand, Gujarat, India
- Assistant Professor, Department of Electronics, Birla Vishvakarma Mahavidyalaya Engineering College (BVM), Anand, Gujarat, India
- Student, Department of Electronics, Birla Vishvakarma Mahavidyalaya Engineering College (BVM), Anand, Gujarat, India
Abstract
In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution to address this issue. There are many ANPR systems, but each brings a range of obstacles to recognize, including vehicle speed, non-standardized license plates, different languages on license plates, and varying lighting conditions, which can degrade recognition. Each of these systems functions within these limitations. Image size, success rate and processing time for ANPR are discussed in this study and evaluated with different ANPR approaches. An extension to ANPR is proposed at the end of the study.
Keywords: Character segmentation, image segmentation, number plate, optical character recognition (OCR), artificial neural network (ANN), automatic number plate recognition (ANPR)
[This article belongs to International Journal of Image Processing and Pattern Recognition (ijippr)]
Sakshi Trivedi, Parul Panchal, Tushar Galaiya. Automatic Number Plate Recognition Based Image Processing. International Journal of Image Processing and Pattern Recognition. 2025; 03(01):33-40.
Sakshi Trivedi, Parul Panchal, Tushar Galaiya. Automatic Number Plate Recognition Based Image Processing. International Journal of Image Processing and Pattern Recognition. 2025; 03(01):33-40. Available from: https://journals.stmjournals.com/ijippr/article=2025/view=0
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| Volume | 03 |
| Issue | 01 |
| Received | 21/11/2024 |
| Accepted | 18/12/2024 |
| Published | 08/01/2025 |
| Publication Time | 48 Days |
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