World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Lightweight & fast OCR models for license plate text recognition.

:musical_keyboard: KingKeyboard 是一款灵活好用的自定义键盘，内置多种智能预设模式（包括字母、数字、电话、身份证、车牌号等专用键盘），同时支持完全自定义，轻松满足各种输入场景需求。

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.

JavaANPR - Automatic Number Plate Recognition System for Java

Brazilian docs validator for Go - CPF, CNPJ, CEP, RENAVAM, CNH and license plate!

This project using yolo3 to detection license plate in street

Official code for 'Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers' (Computers & Graphics 2023)

Deep Learning High-Accuracy License Plate Recognition Engine Supporting Korea, Japan, and Vietnam

Real time licence plate recognition system

本项目旨在自动生成虚拟的中国大陆地区标准车牌图像，并提供简单的数据增强手段，来增强视觉感官上的逼真程度。

Using neural networks to build an automatic number plate recognition system.

A general react component for Iran license plate.

Dataset created for the paper entitled 'Combining Attention Module and Pixel Shuffle for License Plate Super-resolution' (SIBGRAPI 2022)

CRNN/LPRNet/STNet + CTC + CCPD

Official code for 'Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach' (SIBGRAPI 2024)

Automated Bangla License Plate Detection and Recognition - Implementation. For thesis report visit- https://github.com/dipu-bd/thesis-report

Taiwan_License_Plate_Recognition 台灣車牌辨識

A Thai license plate localization and recognition

日本のナンバープレート検出と認識の技術検証用プロトタイプ

Automatically detect & remove vehicle license plates from images

Repository housing the font based on GOST-R-50557-93.

[YOLOv5-Seg][CRNN-CTC][CCPD]License Plate Detect/Segment/Recog

vue3-license-plate是一款基于vue3的车牌号输入控件

Easily validate dutch vehicle license plates in JavaScript 🚗

基于多尺度特征融合的高速公路违章行驶车辆识别与处理系统

A sample of how to recognize license plate in C#.

Font of German license plates typeface

An iOS app for scanning/OCR license plates and posting emoji reactions to them, built in a day as part of an Automatic hackday

# PlateYOLO-JP-PrototypeThis repository contains a prototype for detecting and recognizing Japanese license plates. It uses a two-stage pipeline to enhance accuracy and performance. 🐙🚀## Caution- The datasets for license plate detection and recognition are private.- The detection dataset is collected around the creator's home, which may affec