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.

Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION

Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023

Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books

English Handwriting Recognition with CRNN and CTC Loss

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

Basic HTR concepts/modules to boost performance

Train a Text Recognition CRNN model with Tensorflow2 & Keras & IAM Dataset. Convolutional Recurrent Neural Network. CTC.

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

This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.

Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.

Benchmark of different network architectures for handwritten text recognition.

Implementation of Handwritten Text Recognition Systems using TensorFlow

An ongoing & curated collection of awesome software best practices and remediation techniques, libraries and frameworks, E-books and videos, Technical guidelines and important resources about Identiy & Access Management (IAM).

Handwriting Recognition Project

Models for handwriting generation for academic purposes (My Bachelor thesis)