International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Vehicle Number Plate Detection Under Different Environmental Conditions

Author(s) Anugu Hansika, Thaviti Sony, Sohaib Ibrahim
Country India
Abstract The main aim of the project is to detect the number plate of the vehicle and display the corresponding vehicle number. The motive of this project stems from the need for robust and reliable number plate detection systems that can perform effectively in real-world scenarios. Existing techniques frequently have trouble dealing with different lighting situations, like dimly lit areas, which can result in erroneous or missed detections. Furthermore, unfavourable angles of the number plates might make the detection issues worse. The problem statement of this project is to develop a number plate detection system that is capable of accurately locating number plates on vehicles, irrespective of the prevailing environmental conditions. To achieve this, we employ a multi-stage approach that combines computer vision techniques and image processing methodologies. Our proposed approach consists of three stages which includes: pre-processing, feature extraction and text extraction
Keywords Machine learning, computer vision, image processing, feature extraction
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-18
Cite This Vehicle Number Plate Detection Under Different Environmental Conditions - Anugu Hansika, Thaviti Sony, Sohaib Ibrahim - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14540
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14540
Short DOI https://doi.org/gtnkfr
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