sikuli-driver team mailing list archive

[RaiMan <rmhdevelop@xxxxxx>]

**** comment #4 was answered by the developers

--- tesseract 3
The tesseract 3 branch is still under development, not merged back to the main develop branch yet.

--- user option to apply image filtering individually
We hope to do these things automatically and keep the user interface as simple as possible.

--- where is the preprocessing done?
Yes, Sikuli does lots of preprocessing. The code is in sikuli-script/src/main/native, not in the Java level. 

--- additional features/options
select language and option to select user trained files: These two would be possible in the tesseract 3 branch.

--- user should be able to use other OCR.
No plan to do this yet.

--- Other observations in the current OCR
This would be improved in the tesseract 3 branch as well.

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https://bugs.launchpad.net/bugs/710586

Title:
  X 1.0rc3: Region.text() -- known problems and needed improvements

Status in Sikuli:
  In Progress

Bug description:
  ******* this report is a summary of known problems and feature
  requests

  The text recognition feature (OCR - Region.text()) together with the
  possibility to find text in an image is still experimental and under
  developement.

  This are currently reported bugs:
  bug 777660: text recognition errors with some fonts
  bug 783082: [request] want font parameters for text recognition
  bug 735434: Text extraction from Images fails in some cases on colored backgrounds
  bug 695616: Inconsistency in text recognition and matching, especially with integers-as-text!
  bug 695650: find(text).text() does not return same text
  bug 701005: text() always returns text with trailing x'200A20'
  bug 701012: text() does not return all intervening blanks, add's others
  bug 795391: [request] OCR/tesseract: allow new training sets for other languages and more tesseract features

  Other experienced oddities
  -- there are problems with text, that is not in english language
  -- very small and very large fonts may not work
  -- multiline text makes problems
  -- intervening/preceding/trailing grafics and symbols are tried to be interpreted as text

  Tip when using Region.text():
  Currently you get the best results, when the region represents only one line of text and only contains text (no graphics/symbols) in english language. If you can influence it: make the text as large as possible.

  -- additional information:
  Internally the tesseract OCR engine (http://code.google.com/p/tesseract-ocr/) is used.
  So their restrictions apply (e.g. minimum size of font, ...).
  Information can be found on their Wiki.

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