# Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN

arXiv: https://arxiv.org/abs/2312.10701 · HTML: https://mlsanity.com/paper/2312.10701/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 13 references that are in the map.
- First posted on arXiv 17 Dec 2023.

## Builds on (most cited first, 2 of 2)

- [StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN](https://mlsanity.com/paper/2203.04036/) (2022)
- [Bengali Handwritten Digit Recognition using CNN with Explainable AI](https://mlsanity.com/paper/2212.12146/) (2022)

## Built on by (most cited first, 1 of 1)

- [A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision-Language OCR](https://mlsanity.com/paper/2603.10267/) (2026)

## Abstract (arXiv)

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.