Handwritten Text Recognition (HTR) system implemented with TensorFlow.

OCR engine for all the languages

OCR software for recognition of handwritten text

Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

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.

TensorFlow convolutional recurrent neural network (CRNN) for text recognition

Handwritten Text Recognition using TensorFlow

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Page to PAGE Layout Analysis Tool

Apply different text recognition services to images of handwritten documents.

End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.

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

Handwritten Text Recognition and Character Detection

Handwritten text recognition using transformers.

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

Detect and read handwritten words on scanned pages.

Developing handwritten text recognition for Xournal++

Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"

Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

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

The SCUT-EPT Dataset for the research of offline handwritten Chinese text recognition (HCTR) in educational documents has been released.

OCR using MXNet Gluon. The pipeline is composed of a CNN + biLSTM + CTC. The dataset is from: http://www.fki.inf.unibe.ch/databases/iam-handwriting-database. You need to register and get a username and password from their website.

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

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。

Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books

Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION

Handwritten Kazakh and Russian (HKR) database for text recognition