Plate Recognition.md

Plate Recognition

paper

[ECCV_2018]Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

• pdf: Zhenbo_Xu_Towards_End-to-End_License_ECCV_2018_paper.pdf
• github: https://github.com/detectRecog/CCPD
• dataset: https://drive.google.com/file/d/1fFqCXjhk7vE9yLklpJurEwP9vdLZmrJd/view

[ECCV_2018]License Plate Detection and Recognition in Unconstrained Scenarios

• pdf: Sergio_Silva_License_Plate_Detection_ECCV_2018_paper.pdf
• github: https://github.com/sergiomsilva/alpr-unconstrained
• datasets: http://www.inf.ufrgs.br/~crjung/alpr-datasets/

[ECCV_2018]Towards Human-Level License Plate Recognition

• pdf: Jiafan_Zhuang_Towards_Human-Level_License_ECCV_2018_paper.pdf

[2018]LPRNet: License Plate Recognition via Deep Neural Networks

• intro: Intel IOTG Computer Vision Group
• intro: works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIAR GeForceTMGTX 1080 and 1.3 ms/plate on IntelR CoreTMi7-6700K CPU.
• arxiv: https://arxiv.org/abs/1806.10447

[2018]How many labeled license plates are needed?

• intro: Chinese Conference on Pattern Recognition and Computer Vision
• arxiv: https://arxiv.org/abs/1808.08410

[2017]Real-Time Brazilian License Plate Detection and Recognition Using Deep Convolutional Neural Networks

• pdf: Real-Time-Brazilian-License-Plate-Detection-and-Recognition-Using-Deep-Convolutional-Neural-Networks.pdf

[2017]Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN

• intro: International Workshop on Advanced Image Technology, January, 8-10, 2017. Penang, Malaysia. Proceeding IWAIT2017
• arxiv: https://arxiv.org/abs/1701.06439

[2017]License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks

• arxiv: https://arxiv.org/abs/1703.07330
• api: https://www.sighthound.com/products/cloud

[2017]Adversarial Generation of Training Examples for Vehicle License Plate Recognition

https://arxiv.org/abs/1707.03124

[2017]Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks

• pdf: http://www.ssijmr.org/downloadpdf/144_3_2.pdf

[2017]A Robust and Efficient Approach to License Plate Detection

• arxiv: https://arxiv.org/abs/1709.08828

[2016]Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs

• arxiv: http://arxiv.org/abs/1601.05610

[2016]License Plate Detection using Harris Corner and Character Segmentation by Integrated Approach from an Image

• pdf: License Plate Detection using Harris Corner.pdf

project

[2017]mxnet, End-to-End Chinese plate recognition base on mxnet

• intro：多标签分类,端到端的中文车牌识别基于mxnet
• github: https://github.com/szad670401/end-to-end-for-chinese-plate-recognition

[2016]end-to-end-for-plate-recognition

• github: https://github.com/szad670401/end-to-end-for-chinese-plate-recognition

[2015]Using neural networks to build an automatic number plate recognition system

• 博客：Number plate recognition with Tensorflow
• 代码：matthewearl/deep-anpr

openLibrary

[2016]EasyPR:基于深度学习高性能中文车牌识别

• 博客：计算机的潜意识
• 代码：EasyPR是一个开源的中文车牌识别系统，其目标是成为一个简单、高效、准确的车牌识别库。

[2015]HyperLPR : High Accuracy Chinese Plate Recognition Framework

• intro: High Performance Chinese License Plate Recognition Framework.
• gihtub: https://github.com/zeusees/HyperLPR

[2014]openalpr: open source Automatic License Plate Recognition library

• 博客：车牌识别中的不分割字符的端到端(End-to-End)识别
• 代码：Automatic License Plate Recognition library http://www.openalpr.com  

Commercial systems

[2017]License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks

• Sighthound
• arxiv: http://cn.arxiv.org/abs/1703.07330