handwriting-recognition

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

✏️ ☁️ MyScriptJS is the fastest way to integrate rich handwriting recognition features in your webapp.

Handwritten Text Recognition

Detect handwritten words (classic image processing based method).

✏️ ☁️ 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

✏️ ☁️ 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.

✏️ ☁️ iinkJS is the fastest way to integrate rich handwriting recognition features in your webapp.

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

Connect(); 2018 - AI Visual Provision Sample App

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。

AI 批改助手 — 多模态 AI 在线阅卷自动批改油猴脚本，支持智学网、七天网络、好分数、五岳阅卷、阅小二、华翰云、光大阅卷、九科星、乐华阅卷、鑫考、C30教育云、AMEQP、海云智评、九五优评、上进教育服务云、南昊AI教学提分、鑫考校园、酷鱼网、A佳教育、云阅卷(开州)等 33 个阅卷平台。自动识别手写答案、智能评分、自动填分提交，支持普通/试改/无人值守/双评仲裁四种模式、分小题评分、分数纠错、评阅历史导出（含材料包ZIP）。晚上挂机睡觉，早上起来全改完。

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

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

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

⚡ Create handwritten documents from text with a Neural Network!

Making Handwriting Synthesis with RNNs more Package-Friendly