Let's explore how we can extract text from forms

Philip Doxakis

Last update: Jun 5, 2022

Related tags

Overview

Form Segmentation

Let's explore how we can extract text from any forms / scanned pages.

Objectives

The goal is to find an algorithm that can extract the maximum information from a given page (jpg format). So, we can feed it to another system. (Business logic, neural network, classifier, etc.) The overall process may not be perfect. But it would be great if it can find enough information to identify the type of document and the involve identities.

Parse any form / scanned page and extract any text data (printed text and handwriting text). So, no prior knowledge of the layout / structure of the document.
Automatic extraction process (no human interaction. So, it can scale out)
Somehow fast (or the ability to speed up the task with more machines or CPU)

Challenges

There are many challenges to overcome. But the main problem is to identify which part of the form contains text.

Some other challenges:

Black Border Removal
ICR (Intelligent Character Recognition): recognize and convert hand-drawn characters into text
Scanned page (Detect edges and apply a perspective transform to obtain the top-down view of the document)
Remove noise (blur, OTSU, adaptivethreshold with opencv)
Shape detection and extraction
OCR (Not a real issue since we can use : Tesseract 4 great for printed text)
Handwriting recognition
Minimize errors

Comments

Extract image parts for Handwriting Recognition

It would be super interesting to isolate single lines of handwritten text to further process them in a handwriting recognition apporach.

Unfortunately I am quite new to OpenCV and would be super happy to get a hint how to start that?

Thank you for any help/ideas.

opened by matthiasanderer 2

An Implementation of the alogrithm in paper IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

InceptText-Tensorflow An Implementation of the alogrithm in paper IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Orien

115 Dec 12, 2022

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

STN-OCR: A single Neural Network for Text Detection and Text Recognition This repository contains the code for the paper: STN-OCR: A single Neural Net

496 Jan 5, 2023

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

text-detection-ctpn Scene text detection based on ctpn (connectionist text proposal network). It is implemented in tensorflow. The origin paper can be

3.3k Dec 30, 2022

keras复现场景文本检测网络CPTN: 《Detecting Text in Natural Image with Connectionist Text Proposal Network》；欢迎试用，关注，并反馈问题...

keras-ctpn [TOC] 说明预测训练例子 4.1 ICDAR2015 4.1.1 带侧边细化 4.1.2 不带带侧边细化 4.1.3 做数据增广-水平翻转 4.2 ICDAR2017 4.3 其它数据集 toDoList 总结说明本工程是keras实现的CPTN: Detecti

107 Jan 9, 2023

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Detecting Text in Natural Image with Connectionist Text Proposal Network The codes are used for implementing CTPN for scene text detection, described

1.3k Dec 22, 2022

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

AdvancedEAST AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST:An Efficient and Accurate Scene Text Dete

1.2k Dec 29, 2022

OCR system for Arabic language that converts images of typed text to machine-encoded text.

Arabic OCR OCR system for Arabic language that converts images of typed text to machine-encoded text. The system currently supports only letters (29 l

144 Jan 5, 2023

OCR, Scene-Text-Understanding, Text Recognition

Scene-Text-Understanding Survey [2015-PAMI] Text Detection and Recognition in Imagery: A Survey paper [2014-Front.Comput.Sci] Scene Text Detection and

354 Dec 12, 2022

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

Total-Text-Dataset (Official site) Updated on April 29, 2020 (Detection leaderboard is updated - highlighted E2E methods. Thank you shine-lcy.) Update

671 Dec 27, 2022

Let's explore how we can extract text from forms

Related tags

Overview

Form Segmentation

Objectives

Challenges

You might also like...

An Implementation of the alogrithm in paper IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

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

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

keras复现场景文本检测网络CPTN: 《Detecting Text in Natural Image with Connectionist Text Proposal Network》；欢迎试用，关注，并反馈问题...

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

OCR system for Arabic language that converts images of typed text to machine-encoded text.

OCR, Scene-Text-Understanding, Text Recognition

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

Comments

Extract image parts for Handwriting Recognition

Owner

Philip Doxakis

A little but useful tool to explore OCR data extracted with `pytesseract` and `opencv`

A bot that extract text from images using the Tesseract OCR.

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.

This can be use to convert text in a file to handwritten text.

This is a c++ project deploying a deep scene text reading pipeline with tensorflow. It reads text from natural scene images. It uses frozen tensorflow graphs. The detector detect scene text locations. The recognizer reads word from each detected bounding box.

Extract tables from scanned image PDFs using Optical Character Recognition.

Python library to extract tabular data from images and scanned PDFs

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

This project modify tensorflow object detection api code to predict oriented bounding boxes. It can be used for scene text detection.

Deskew is a command line tool for deskewing scanned text documents. It uses Hough transform to detect "text lines" in the image. As an output, you get an image rotated so that the lines are horizontal.