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
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