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

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

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ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)

TedEval: A Fair Evaluation Metric for Scene Text Detectors

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)

本解决方案完成了使用HOG特征和SVM分类器，在CASIA-NLPR【Institute of Automation of Chinese Academy of Sciences-National Laboratory of Pattern Recognition中国科学院自动化研究所-模式识别国家重点实验室】提供的手写体汉字数据集上，进行了训练和分类预测，并完成了2013中国手写体识别大赛的4项比赛任务。

A tool for the conversion from ICDAR to COCO dataset.

Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".

Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x

A TensorFlow 2 reimplementation of DBNet available as a Python package for Scene Text Detection, following ICDAR 2015 Dataset format and using TedEval as Evaluation metrics

High-quality synthetic text data generation for Urdu Text Recognition

Convert icdar dataset to pascal voc

Signature Classification on ICDAR 2011 Signature Dataset

Computer Vision - Text Detection In Videos