Collaboration with wangxupeng(https://github.com/wangxupeng)

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch

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

TF2 implementation of Text recognition CRNN

OCR 基于 Keras

This is a solution to Cinnamon AI Challenge (https://drive.google.com/drive/folders/1Qa2YA6w6V5MaNV-qxqhsHHoYFRK5JB39) using convolutional, attention, bidirectional LSTM, achieving CER 0.081 WER 0.188 and SER 0.89

Extract handwritten information like name, student ID and then recognize them with CRNN-CTC-Attention. Using lexicon search on class list to help teacher on updating score faster

PyTorch implemnts `An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition` paper.

基于 PaddlePaddle 的 OCR 验证码识别模块

Identifying Books on Library Shelves using Supervised Deep Learning.

Convolutional Recurrent Neural Network (CRNN) for reading Captchas(驗證碼)

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

Realtime Indonesian License Plate Character Recognition

CaptchaCrack_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.