aniketresultgeneration

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

Adversarial Generation of Handwritten Text Images

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

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

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

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

Master thesis project, aims to classify a scanned document, combining the physical segmentation phase and the logical segmentation phase

Processes images that contain text / writing and groups characters into lines. This is an adapted + extended version of the blocking algorithm presented in Text Binarization in Color Documents by Badekas, Nikolaou, and Papamarkos.

Parliamentary Bills Classification using Document Level Embedding and Bidirectional LongShort-Term Memory

Detect textlines in document images

A collection of scripts to parse Indian Budget documents into clean machine readable formats.

neural layout analysis tests.

Implementation in Pytorch for ST-VQA task in ICDAR, 2019

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