Awesome Ocr

A supermarket receipt parser written in Python using tesseract OCR

OCR software for recognition of handwritten text

Scene text recognition

A small C++ implementation of LSTM networks, focused on OCR.

The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized

A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

OCR toolbox from Davar-Lab

Recognizing cropped text in natural images.

Provides OCR (Optical Character Recognition) services through web applications

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

🖺 OCR using tensorflow with attention

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Medical image registration using deep learning

Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

A pure pytorch implemented ocr project including text detection and recognition

Rotational region detection based on Faster-RCNN.

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

NeurIPS'24 Workshop - UniTable: Towards a Unified Table Foundation Model

A scene text recognition toolbox based on PyTorch

Library used to deskew a scanned document

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.

Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

An Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments

Geometric Augmentation for Text Image

This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:

A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

Scan the MRZ code of a passport and extract the firstname, lastname, passport number, nationality, date of birth, expiration date and personal numer.

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

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

CRAFT-Pyotorch：Character Region Awareness for Text Detection Reimplementation for Pytorch

A PyTorch implementation of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Document Image Dewarping

Arbitrary-Oriented Scene Text Detection via Rotation Proposals (TMM 2018)

PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

a Deep Learning Framework for Text https://delft.readthedocs.io/

Document Layout Analysis

Tools for manipulating and evaluating the hOCR format for representing multi-lingual OCR results by embedding them into HTML.

A PyTorch implementation of Mask TextSpotter

Generic framework for historical document processing

OCR, Scene-Text-Understanding, Text Recognition

CNN+LSTM+CTC based OCR implemented using tensorflow.

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.