Models for handwriting generation for academic purposes (My Bachelor thesis)
-
Updated
Sep 28, 2024 - Python
Models for handwriting generation for academic purposes (My Bachelor thesis)
Basic HTR concepts/modules to boost performance
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
Implementation of Handwritten Text Recognition Systems using TensorFlow
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
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.
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
English Handwriting Recognition with CRNN and CTC Loss
Add a description, image, and links to the iam-dataset topic page so that developers can more easily learn about it.
To associate your repository with the iam-dataset topic, visit your repo's landing page and select "manage topics."