Models for handwriting generation for academic purposes (My Bachelor thesis)
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Updated
Sep 28, 2024 - Python
Models for handwriting generation for academic purposes (My Bachelor thesis)
Implementation of Handwritten Text Recognition Systems using TensorFlow
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
Basic HTR concepts/modules to boost performance
Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
English Handwriting Recognition with CRNN and CTC Loss
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
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.
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