Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
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Updated
Feb 9, 2023 - Python
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
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
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
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.
PyTorch implemnts `An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition` paper.
The net for bank-crad detection and recognition
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