Table detection has been an interesting and challenging problem in the field of document analyses. Object detection algorithms such as Faster-RCNN has been exploited so many times to detect tables in the documents. This is just another experiment but with a different architecture which is Mask_RCNN.

Table Detection using Deep Learning FasterRCNN

This tool can detect textline of given image and write the output in a page xml data.

A repository for OCR, which inlcudes some classical OCR algorithms Pytorch implementation such as CTPN, EAST and CRNN.

FCDenseNet implementation for Table Localization

PKU Team Zero's code for participation in ICDAR2019 ArT Recognition track (Champion)

Code and data for the paper at http://arxiv.org/abs/2004.07317

Extraction of meaningful instances from document images with a Chargrid model

code to generate synthetic scene text images with focus on curved text

This github profile contains code and recent papers that have been appeared in the literature in the field of Handwriting Recognition, Handwriting Spotting for Indic Scripts.

Document Layout Understanding Try this for result regeneration!

CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extrator)

This is a tool for pixel wise segmentation. This is developed in order to do use cases like page extraction, textline , word and structure recognition of library documents.

Adversarial Generation of Handwritten Text Images

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

DeepLab-ResNet rebuilt in TensorFlow