OCR engine for all the languages
-
Updated
Jun 10, 2024 - Python
OCR engine for all the languages
TensorFlow convolutional recurrent neural network (CRNN) for text recognition
Laia: A deep learning toolkit for HTR based on Torch
Ground Truth Resources for the HTR of patrimonial documents
Handwritten text recognition using transformers.
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
Apply different text recognition services to images of handwritten documents.
Source code to eScriptorium Documentation's website (powered with Mkdocs)
Transcription corpora for training HTR models for medieval manuscripts from the 12th to the 15th century.
Train a Text Recognition CRNN model with Tensorflow2 & Keras & IAM Dataset. Convolutional Recurrent Neural Network. CTC.
Transcription des journaux de l'année 1860 des travaux de restauration de Notre-Dame de Paris effectuée sur eScriptorium
An implementation of Tiling and Corruption (TACo) Augmentations for OCR/HTR
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
CREMMA HTR GT for medieval latin manuscripts
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
Basic HTR concepts/modules to boost performance
Add a description, image, and links to the htr topic page so that developers can more easily learn about it.
To associate your repository with the htr topic, visit your repo's landing page and select "manage topics."