Automatic Number Plate Recognition (ALPR) is a system for automatically
identifying the license plates of any vehicle. This process is important for
tracking, ticketing, and any billing system, among other things. With the use
of information and communication technology (ICT), all systems are being
automated, including the vehicle tracking system. This study proposes a hybrid
method for detecting license plates using characters from them. Our captured
image information was used for the recognition procedure in Bangladeshi
vehicles, which is the topic of this study. Here, for license plate detection,
the YOLO model was used where 81% was correctly predicted. And then, for
license plate segmentation, Otsu's Thresholding was used and eventually, for
character recognition, the CNN model was applied. This model will allow the
vehicle's automated license plate detection system to avoid any misuse.

提出了一种自动扫描车牌并识别其字符的混合方法，其中使用了 YOLO 模型、Otsu 阈值和 CNN 模型，以便创新性地实现自动化车辆识别，随着的普及，这有助于防止盗用和滥用。