iam-dataset topic
Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow
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.
Handwritten-Text-Recognition
Train a Text Recognition CRNN model with Tensorflow2 & Keras & IAM Dataset. Convolutional Recurrent Neural Network. CTC.
Text-Recognition-on-Cross-Domain-Datasets
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
CRNN_CTC_English_Handwriting_Recognition
English Handwriting Recognition with CRNN and CTC Loss
Easter2
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
Handwritten_Text_Recognition
HTR-ctc
Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
Handwritten-word-recognition-OCR----IAM-dataset---CNN-and-BiRNN
handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.
WordStylist
Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023