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.

OCR 基于 Keras

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

TF2 implementation of Text recognition CRNN

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

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

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.

基于 PaddlePaddle 的 OCR 验证码识别模块

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

The net for bank-crad detection and recognition

ctc decoder

CRNN PROJECT