Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN
This addresses automated license plate recognition for Bengali vehicles, but it is incremental as it applies existing methods like GFP-GAN and CNNs to a specific domain.
The paper tackles the problem of recognizing Bengali license plates under challenging conditions like low resolution and blur by using GFP-GAN for image restoration and CNNs for character recognition, achieving accurate identification with a dataset of 1292 images.
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.