Text recognition (optical character recognition) with deep learning methods.
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Updated
Jul 16, 2023 - Jupyter Notebook
Text recognition (optical character recognition) with deep learning methods.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Python tool for grabbing text via screenshot
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
A self-hosted, drag-and-drop & nosql file conversion server & share tool that supports 86 file formats in 13 languages.
Java OCR 识别组件(基于Tesseract OCR 引擎)。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content).
A scene text recognition toolbox based on PyTorch
第一届西安交通大学人工智能实践大赛(2018AI实践大赛--图片文字识别)第一名;仅采用densenet识别图中文字
Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
Tesseract based OCR for android
A curated list of resources dedicated to table recognition
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
On-Device ID Card & Passport & Driver License Recognition SDK for Android
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
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