Handwritten Text Recognition (HTR) system implemented with TensorFlow.

OCR software for recognition of handwritten text

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.

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".

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.

Handwritten Text Recognition and Character Detection

Handwritten text recognition using transformers.

Developing handwritten text recognition for Xournal++

(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.

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

IAM dataset

2019 UCAS, deep learning course projects, including handwritten number recognition, license plate number recognition, cat and dog classification, pedestrian detection, neural language model, neural network text summary, digital voice recognition, voice print recognition；2019年UCAS深度学习课程的课程项目，包括手写数字识别，车牌号码识别，猫狗分类，行人检测，神经语言模型，神经网络文本摘要，数字语音识别，声纹识别；

The repository provides access to the source code for Transcription Pearl, an Handwritten Text Recognition (HTR) tool, that uses AI to transcribe handwritten documents

This repo contains the code for hand written text detection and recognition model using computer vision

Offline Handwritten Text Recognition

A Handwritten Text Recognition built with Tensorflow2 & Keras & IAM Dataset, Convolutional Recurrent Neural Network, CTC. Decoder

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a quick and nice example app how to implement doodling and handwritten text recognition

Pre-processing a handwritten page into word images for Handwritten Text Recognition (HTR).

Convert Arabic Handwritten Images to Text

Handwritten text recognition