Installing Tesseract. The Tesseract Windows Installer works pretty well and painlessly as long as you want to use v3.02.02, the latest official release. Download the latest released version of the Windows installer for Tesseract; Run the executable file to install.

Is tough so tough indeed, even would have to check the manual twice. Not kidding you. Okay, so this article aimes at structuring what I needed to learn about tesseract to OCR-convert PDFs to text and how to train tesseract for application to new fonts.

Let me dampen your expectations – you *will* have to read further texts (esp. The ) to actually perform successful training! This text is describing usage of tesseract 3.03 RC on Ubuntu 14.04. Tesseract is also available for other Linuxes and Windows – the work flow will be mostly the same across OSes – of course some commands I use are though specific to Ubuntu.

Also mind that tesseract 3.03 is considerably different to 3.02, which again differs from 3.01 as well – the changes are partially more fundamental than what you might expect from the version numbers. Lynda sql server 2008 essential training free download. Installation of tesseract Installation of tesseract, so you can use the training tools, will require a number of potentially difficult steps on Ubuntu 14.04 (in my case though it worked like a charm): • of Leptonica 1.7+ • and and tesseract 3.03 RC1 • of training tools Figure out where the configuration and traineddata-files are located. Best place is: / usr / local / share / tessdata. If not then set $ TESSDATA_PREFIX to that tessdata-folder. Custom configuration files are supposed to be placed in configs -subfolder. If you don’t intend to train tesseract but only to use it for OCR directly, installation on Ubuntu is no more and no less than sudo apt - get install tesseract - ocr.

Conversion of a PDF to an Image. I 609 2741 622 2774 0 Some letters are identified correctly – others not.

By the way the first four numbers is the coordinates of the box (left-x, bottom-y, right-x, top-y) with origin at bottom left. The fourth number is the page index in case you use a multi-page TIFF. Whether to split two characters or to keep them in one box and allocate it the correct value is a source of mystery and speculation. Commen sense and putting yourself mentally into a machine learning algorithm’s shoes will help. Correcting the box file I think in some article I read that CIA was torturing potential terrorists in those black sites by having them correct tesseract box files for texts of handwritten Sanskrit in case water boarding didn’t work.

If you endulge in correcting box files for longer than one hour – make sure you have tissues next to you as your brain might melt and drip from your nostrils. Don’t blame me if you ruin your shirt! Anyway – my adivce is to segment training into multiple steps. The first training will be tedious b/c tesseract will make many mistakes and you will have to correct a lot of little boxes. But you can use what you learned for the next training step and its initial creation of the box files.

So with every training step you increase the complexity of your training data. To make correction, adjustment, insertion, deletion, merging and splitting of boxes a bit easier I recommend to use a box file editor. Is doing a good job. Download, extract and then start it. Java - Xms4096m - Xmx4096m - jar jTessBoxEditor.

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Jar So above box file might initially look like this: In above case you would have to correct the value for the marked character from “T” to “F”, you would have to split “N O P” into three different cases etc. When you’re done don’t forget to save the box file edits. Training tesseract Tesseract expects involved files to adhere to naming scheme: [ language ]. [ font name ]. Exp [ num ] The language might be eng2 (as “eng” already exists). The font name is Lobster Two. So the name of the training picture and its box file might be: • eng2.