Automated License Plate Recognition(ALPR) is a system that automatically
reads and extracts data from vehicle license plates using image processing and
computer vision techniques. The Goal of LPR is to identify and read the license
plate number accurately and quickly, even under challenging, conditions such as
poor lighting, angled or obscured plates, and different plate fonts and
layouts. The proposed method consists of processing the Bengali low-resolution
blurred license plates and identifying the plate's characters. The processes
include image restoration using GFPGAN, Maximizing contrast, Morphological
image processing like dilation, feature extraction and Using Convolutional
Neural Networks (CNN), character segmentation and recognition are accomplished.
A dataset of 1292 images of Bengali digits and characters was prepared for this
project.

自动车牌识别（ALPR）是一种利用图像处理和计算机视觉技术自动读取和提取车辆车牌数据的系统。该方法包括处理孟加拉低分辨率模糊的车牌并识别车牌字符，通过图像恢复、对比度最大化、形态学图像处理、卷积神经网络进行特征提取、字符分割和识别。为该项目准备了 1292 张孟加拉数字和字符的数据集。