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Revision as of 09:40, 5 April 2007 by Romjerome (talk | contribs)
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While researching your family tree, you will find textual publications or administrative documents. You may avoid long and annoying work into GRAMPS by using optical character recognition (OCR).

Here we show how you can work on your picture to make it to text !!!

How this work ?

  • picture need to be contrasted
  • OCR programs read the picture and with forms librairies, detect the characters in order to make some correspond the form to the awaited character
  • dictionnaries will be used for minimized errors. They make comparison between existing words and your result.
  • Some programs allow bold, italic or custom fonts size.

Using into GRAMPS

There is not a lot of OCR open sources programs. Intelligent Word Recognition (IWR), Intelligent Character Recognition (ICR) for written certificates are hight level. They are used on financial, historical sectors. Some programs may be used as third party of GRAMPS.

  • Tesseract may be a good solution for english reader but it currently only recognizes US-ASCII characters ...
  • claraocr seems to be able to learn but I do not find any documentation. Also, need to use pgm or pbm file format.
  • GOCR/JOCR is using by xsane and kooka, may generate a custom database characters with:
mkdir db

gocr -p db -m 130 -m 256 certificate.png

This will ask you for each new letters and will generate a new index (db.list) + portable-bitmap (pbm) for your letters. Each key entry on db.list is one of this .pbm related to your custom value (a, b, c ...)

Not very successfull on written text.

  • With Ocrad, you need to use pgm file format

Also, Conjecture is an OCR third party tool who incorporate both open sources programs code bases.