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

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

vietnamese OCR

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

✍️ Convolutional Recurrent Neural Network in Pytorch

tensorflow slim Implementation crnn

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

some works on ncnn

PyTorch CNN+LSTM model for OCR

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

CNN+LSTM网络用于可变长度的手写数字识别

crnn

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

ctc decoder

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

Application to spot and read text in shot images. Useful for blind people in supermarket.

This is simple and easy way to identification and recognition of handwritten text from an image. An Optical Character Recognition (OCR) is type of image-based sequence recognition problem. So, i used CRNN to cop up this problem. This will help to extract text from an image.