English Handwriting Recognition with CRNN and CTC Loss
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Updated
Oct 1, 2018 - Python
English Handwriting Recognition with CRNN and CTC Loss
Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
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.
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
Implementation of Handwritten Text Recognition Systems using TensorFlow
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023
Basic HTR concepts/modules to boost performance
Models for handwriting generation for academic purposes (My Bachelor thesis)
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