A tool for extracting text from scanned documents (via OCR), with user-defined post-processing.

Overview

The project is based on older versions of tesseract and other tools, and is now superseded by another project which allows for more granular control over the text recognition process.

go-ocr

A tool for extracting plain text from scanned documents (pdf or djvu), with user-defined postprocessing.

Motivation

Once I had a task of OCR'ing a number of scanned documents in pdf format. I quickly built a pipeline of the tools to extract images from the input files and to convert them to plain text, but then I realised that modern OCR software is still less than ideal in terms of recognising text, so a good deal of postprocessing was needed in order to remove at least some of those OCR artefacts and irregularities. I ended up with a long pipeline of sed/grep filters which also had to be adjusted per each document and per each document language. What I wanted was a tool that could combine the OCR tools invocation with filters application, also giving an easy way of modifying and combining the filter definitions.

The tool

Given an input file in either pdf or djvu format, the tool performs the following steps:

  1. Images get extracted from the input file using pdfimages or ddjvu tool;
  2. The extracted images get converted to plain text using tesseract tool, in parallel;
  3. The specified filters get applied to the text.

Invocation

go-ocr [OPTION]... FILE

Command line options:

-f,--first N        first page number (optional, default: 1)
-l,--last  N        last page number (optional, default: last page of the document)
-F,--filter FILE    filter specification file name (optional, may be given multiple times)
-L,--language LANG  document language (optional, default: 'eng')
-o,--output FILE    output file name (optional, default: stdout)
-h,--help           display this help and exit
-v,--version        output version information and exit
Example

The following command processes a document some.pdf in Russian, from page 12 to page 26 (inclusive), without any postprocessing, storing the result in the file document.txt:

./go-ocr --first 12 --last 26 --language rus --output document.txt some.pdf

Filter definitions

Filter definition file is a plain text file containing rewriting rules and C-style comments. Each rewriting rule has the following format:

scope type "match" "substitution"

where

  • scope is either line or text;
  • type is either word or regex;
  • match and substitution are Go strings.

Each rule must be on one line.

Each rule of the scope line is applied to each line of the text. There is no processing done to the line by the tool itself other than trimming the trailing whitespace, which means that a line does not have a trailing newline symbol when the rule is applied. After that all the lines get combined into text with newline symbols inserted between them.

Each rule of the scope text is applied to the whole text after all the line rules. All newline symbols are visible to the rule which allows for combining multiple lines into one.

The reason for having two different scopes for the rules is that applying a rule to a line is computationally cheaper that applying to the whole text. Also, this makes the line regular expressions a bit simpler as, for example, \s regex cannot match a newline.

Rules of type word do a simple substitution replacing any match string with its corresponding substitution string.

Rules of type regex search the input for any match of the match regular expression and replace it with the substitution string. The syntax of the regular expression is that of the Go regexp engine. The substuitution string may contain references to the content of capturing groups from the corresponding match regular expression. From the Go documentation, each reference

is denoted by a substring of the form $name or ${name}, where name is a non-empty sequence of letters, digits, and underscores. A purely numeric name like $1 refers to the submatch with the corresponding index; other names refer to capturing parentheses named with the (?P<name>...) syntax. A reference to an out of range or unmatched index or a name that is not present in the regular expression is replaced with an empty slice.

In the $name form, name is taken to be as long as possible: $1x is equivalent to ${1x}, not ${1}x, and, $10 is equivalent to ${10}, not ${1}0.

To insert a literal $ in the output, use $$ in the template.

All filter definition files are always processed in the order in which they are specified on the command line. Within each file, the rules are grouped by the scope, and applied in the order of specification. This allows for each rule to rely on the outcome of all the rules before it.

Rewriting rules examples

Rule to replace ellipsis with a single utf-8 symbol:

line word	"..."  "…"

Rule to replace all whitespace sequences with a single space character:

line regex	`\s+`	" "

Rule to remove all newline characters from the middle of a sentence:

text regex	`([a-z\(\),])\n+([a-z\(\)])` "${1} ${2}"

More examples can be found in the files filter-eng and filter-rus.

In practice, it is often useful to maintain one filter definition file with rules to remove common OCR artefacts, and another file with rules specific to a particular document. In general, it is probably impossible to avoid all manual editing altogether by using this tool, but from my experience, a few hours spent on setting up the appropriate filters for a 700 pages document can dramatically reduce the amount of manual work needed afterwards.

Other tools

Internally the program relies on pdfimages and ddjvu tools for extracting images from the input file, and on tesseract program for the actual OCR'ing. The tool pdfimages is usually a part of poppler-utils package, the tool ddjvu comes from djvulibre-bin package, and tesseract is included in tesseract-ocr package. By default, tesseract comes with the English language support only, other languages should be installed separately, for example, run sudo apt install tesseract-ocr-rus to install the Russian language support. To find out what languages are currently installed type tesseract --list-langs.

Compilation

Invoke make (or make debug) from the directory of the project to compile the code with debug information included, or make release to compile without debug symbols. This creates executable file go-ocr.

Technical details

The tool first runs pdfimages or ddjvu program to extract images to a temporary directory, and then invokes tesseract on each image in parallel to produce lines of plain text. Those lines are then passed through the line filters, if any, then assembled into one text string and passed through text filters, if any. regexp filters are implemented using Regexp.ReplaceAll() function, and word filters are invocations of bytes.Replace() function.

Known issues

Older versions of pdfimages tool do not have -tiff option, resulting in an error.

Platform

Linux (tested on Linux Mint 18 64bit, based on Ubuntu 16.04), will probably work on MacOS as well.

Tools:

$ go version
go version go1.6.2 linux/amd64
$ tesseract --version
tesseract 3.04.01
...
$ pdfimages --version
pdfimages version 0.41.0
...
$ ddjvu --help
DDJVU --- DjVuLibre-3.5.27
...
Lisence: BSD
You might also like...
A set of workflows for corpus building through OCR, post-correction and normalisation
A set of workflows for corpus building through OCR, post-correction and normalisation

PICCL: Philosophical Integrator of Computational and Corpus Libraries PICCL offers a workflow for corpus building and builds on a variety of tools. Th

Toolbox for OCR post-correction

Ochre Ochre is a toolbox for OCR post-correction. Please note that this software is experimental and very much a work in progress! Overview of OCR pos

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

English | 简体中文 Introduction PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and a

Indonesian ID Card OCR using tesseract OCR

KTP OCR Indonesian ID Card OCR using tesseract OCR KTP OCR is python-flask with tesseract web application to convert Indonesian ID Card to text / JSON

Library used to deskew a scanned document
Library used to deskew a scanned document

Deskew //Note: Skew is measured in degrees. Deskewing is a process whereby skew is removed by rotating an image by the same amount as its skew but in

Unofficial implementation of
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"

TableNet Unofficial implementation of ICDAR 2019 paper : TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from

Extract tables from scanned image PDFs using Optical Character Recognition.

ocr-table This project aims to extract tables from scanned image PDFs using Optical Character Recognition. Install Requirements Tesseract OCR sudo apt

Python library to extract tabular data from images and scanned PDFs
Python library to extract tabular data from images and scanned PDFs

Overview ExtractTable - API to extract tabular data from images and scanned PDFs The motivation is to make it easy for developers to extract tabular d

Some bits of javascript to transcribe scanned pages using PageXML

nashi (nasḫī) Some bits of javascript to transcribe scanned pages using PageXML. Both ltr and rtl languages are supported. Try it! But wait, there's m

Comments
  • ocrpdf fails with error message from pdfimages

    ocrpdf fails with error message from pdfimages

    I compiled ocrpdf on linux ubuntu 14.04 but it won't process a pdf file. It issues an error message from pdfimages

    eneafse:~/Downloads$ ocrpdf declasspart4.pdf ERROR: pdfimages version 3.04 Copyright 1996-2014 Glyph & Cog, LLC Usage: pdfimages [options] -f : first page to convert -l : last page to convert -j : write JPEG images as JPEG files -opw : owner password (for encrypted files) -upw : user password (for encrypted files) -q : don't print any messages or errors -cfg : configuration file to use in place of .xpdfrc -v : print copyright and version info -h : print usage information -help : print usage information --help : print usage information -? : print usage information

    Thanks.

    E.J. Neafsey

    opened by Ejneafsey 1
Releases(v0.4.2)
Owner
Maxim
Maxim
OpenCVを用いたカメラキャリブレーションのサンプルです。2021/06/21時点でPython実装のある3種類(通常カメラ向け、魚眼レンズ向け(fisheyeモジュール)、全方位カメラ向け(omnidirモジュール))について用意しています。

OpenCV-CameraCalibration-Example FishEyeCameraCalibration.mp4 OpenCVを用いたカメラキャリブレーションのサンプルです 2021/06/21時点でPython実装のある以下3種類について用意しています。 通常カメラ向け 魚眼レンズ向け(

KazuhitoTakahashi 34 Nov 17, 2022
Select range and every time the screen changes, OCR is activated.

ASOCR(Auto Screen OCR) Select range and every time you press Space key, OCR is activated. 範囲を選ぶと、あなたがスペースキーを押すたびに、画面が変わる度にOCRが起動します。 usage1: simple OC

1 Feb 13, 2022
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection (TIP 2019)

TextField: Learning A Deep Direction Field for Irregular Scene Text Detection Introduction The code and trained models of: TextField: Learning A Deep

Yukang Wang 101 Dec 12, 2022
Slice a single image into multiple pieces and create a dataset from them

OpenCV Image to Dataset Converter Slice a single image of Persian digits into mu

Meysam Parvizi 14 Dec 29, 2022
The open source extract transaction infomation by using OCR.

Transaction OCR Mã nguồn trích xuất thông tin transaction từ file scaned pdf, ở đây tôi lựa chọn tài liệu sao kê công khai của Thuy Tien. Mã nguồn có

Nguyen Xuan Hung 18 Jun 02, 2022
Tools for manipulating and evaluating the hOCR format for representing multi-lingual OCR results by embedding them into HTML.

hocr-tools About About the code Installation System-wide with pip System-wide from source virtualenv Available Programs hocr-check -- check the hOCR f

OCRopus 285 Dec 08, 2022
Qrcode Attendence System with Opencv and Pyzbar

Setup process Creates a virtual environment (Scripts that ensure executed Python code uses the Python interpreter and site packages installed inside t

Ganesh 5 Aug 01, 2022
Implement 'Single Shot Text Detector with Regional Attention, ICCV 2017 Spotlight'

SSTDNet Implement 'Single Shot Text Detector with Regional Attention, ICCV 2017 Spotlight' using pytorch. This code is work for general object detecti

HotaekHan 84 Jan 05, 2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral)

MTLFace This repository contains the PyTorch implementation and the dataset of the paper: When Age-Invariant Face Recognition Meets Face Age Synthesis

Hzzone 120 Jan 05, 2023
Table Extraction Tool

Tree Structure - Table Extraction Fonduer has been successfully extended to perform information extraction from richly formatted data such as tables.

HazyResearch 88 Jun 02, 2022
Distilling Knowledge via Knowledge Review, CVPR 2021

ReviewKD Distilling Knowledge via Knowledge Review Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia This project provides an implementation for the

DV Lab 194 Dec 28, 2022
Steve Tu 71 Dec 30, 2022
a Deep Learning Framework for Text

DeLFT DeLFT (Deep Learning Framework for Text) is a Keras and TensorFlow framework for text processing, focusing on sequence labelling (e.g. named ent

Patrice Lopez 350 Dec 19, 2022
An organized collection of tutorials and projects created for aspriring computer vision students.

A repository created with the purpose of teaching students in BME lab 308A- Hanoi University of Science and Technology

Givralnguyen 5 Nov 24, 2021
This is a GUI for scrapping PDFs with the help of optical character recognition making easier than ever to scrape PDFs.

pdf-scraper-with-ocr With this tool I am aiming to facilitate the work of those who need to scrape PDFs either by hand or using tools that doesn't imp

Jacobo José Guijarro Villalba 75 Oct 21, 2022
Scene text detection and recognition based on Extremal Region(ER)

Scene text recognition A real-time scene text recognition algorithm. Our system is able to recognize text in unconstrain background. This algorithm is

HSIEH, YI CHIA 155 Dec 06, 2022
👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

Quick Info this library tries to solve language detection of very short words and phrases, even shorter than tweets makes use of both statistical and

Peter M. Stahl 532 Dec 28, 2022
Generates a message from the infamous Jerma Impostor image

Generate your very own jerma sus imposter message. Modes: Default Mode: Only supports the characters " ", !, a, b, c, d, e, h, i, m, n, o, p, q, r, s,

Giorno420 1 Oct 27, 2022
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

GeorgeJoe 115 Dec 12, 2022
This project is basically to draw lines with your hand, using python, opencv, mediapipe.

Paint Opencv 📷 This project is basically to draw lines with your hand, using python, opencv, mediapipe. Screenshoots 📱 Tools ⚙️ Python Opencv Mediap

Williams Ismael Bobadilla Torres 3 Nov 17, 2021