ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

crnn chinese_plate_recognition

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

vietnamese OCR

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

pytorch implementation of crnn. A sample training of license plate is provided.

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.

Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)

This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.

tensorflow slim Implementation crnn

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

some works on ncnn

Convolutional Recurrent Neural Network (CRNN) for reading Captchas(驗けん證しょう碼)

OCR system built with U-Net models and CRNN.

This repository contains code for Scene Text OCR following the famous CRNN model. The detection part is handled by EAST and the recognition is done by CRNN.

CNN+LSTM网络用よう于可变长度ど的てき手写しゅしゃ数字すうじ识别

Robust reading challenge on scanned receipts OCR and information extraction

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.