OCR engine for all the languages
TensorFlow convolutional recurrent neural network (CRNN) for text recognition
Apply different text recognition services to images of handwritten documents.
Handwritten Text Recognition and Character Detection
HTRflow is the underlying engine for our HTR-pipeline
Ground Truth Resources for the HTR of patrimonial documents
The Learnable Typewriter: A Generative Approach to Text Line Analysis
The repository provides access to the source code for Transcription Pearl, an Handwritten Text Recognition (HTR) tool, that uses AI to transcribe handwritten documents
Basic HTR concepts/modules to boost performance
Transcription corpora for training HTR models for medieval manuscripts from the 12th to the 15th century.
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
Optocal Character Recognition (OCR / HTR) using Transformers
Create handwritten word embeddings from a text recognition Seq2Seq system.
A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition
A pipeline to transfer ground truth from Transkribus to eScriptorium.
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
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