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

:pencil2: :cloud: MyScriptJS is the fastest way to integrate rich handwriting recognition features in your webapp.

Detect handwritten words (classic image processing based method).

:pencil2: :cloud: The easy way to integrate mathematical expressions handwriting recognition in your web app.

A simple API access to the handwriting recognition service of Google IME

WritePad Handwriting Recognition SDK

:pencil2: :cloud: The easy way to integrate text handwriting recognition in your web app.

The deslanting algorithm sets text upright in images. Python, C++ and OpenCL implementations provided.

:pencil2: :cloud: iinkJS is the fastest way to integrate rich handwriting recognition features in your webapp.

Connect(); 2018 - AI Visual Provision Sample App

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

OCR/OCSR on handwritting ⏣/chemical-structural-formulas with YOLO & CRNN models.

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

Handwriting Recognition Web API Proposal

⚡ Create handwritten documents from text with a Neural Network!

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

Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION

Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm

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

Multilingual handwriting recognition engine for iOS, Android, Windows, Linux, MAC OS X...

Handwritten Kazakh and Russian (HKR) database for text recognition

Building on the existing general text recognition capabilities, new features such as handwritten OCR, layout detection, and table detection and recognition have been added, covering all scenarios involving printed text, handwritten text, and document structure analysis.在原通用文本识别基础上，新增手写 OCR、版面检测、表格检测与识别功能，覆盖印刷体、手写体、文档结构解析全场景。

A toolset for handwriting recognition

crossword game with simplistic handwriting recognition and automatic generation of crosswords

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

Software to recognize handwriting

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

Hand Written Digit Recognition