Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Detect handwritten words (classic image processing based method).

(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”

Making Handwriting Synthesis with RNNs more Package-Friendly

⚡ Create handwritten documents from text with a Neural Network!

Convert hand written mathematical expressions and formula to Latext using Machine Learning

OCR Tamil is a powerful tool that can detect and recognize text in Tamil images with high accuracy on Natural Scenes

A toolset for handwriting recognition

Official PyTorch Implementation of "DiffusionPen: Towards Controlling the Style of Handwritten Text Generation" - ECCV 2024

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Software to recognize handwriting

A python library to work with the CASIA Chinese handwriting database.

Documnet Image Binarization, DIBCO Challenges

Create Machine learning models for handwritten Japanese

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Converting CROHME dataset for Online-handwritting recognition to Offline-handwritting recognition.

Back Propagation, Python

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel

(Deprecated) deep learning based Chinese handwriting character recognition, 基于深度学习的手写汉字地址识别