awslabs/handwritten-text-recognition-for-apache-mxnet
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
OCR using MXNet Gluon. The pipeline is composed of a CNN + biLSTM + CTC. The dataset is from: http://www.fki.inf.unibe.ch/databases/iam-handwriting-database. You need to register and get a username and password from their website.
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This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
MXNet OCR implementation. Including text recognition and detection.
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
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Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition