kraken

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

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.

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Page to PAGE Layout Analysis Tool

Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement - AAAI 2023

handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.