Question #270374 on Sikuli changed:
https://answers.launchpad.net/sikuli/+question/270374
Status: Open => Answered
Eugene S proposed the following answer:
Regarding all your text recognition questions
Sikuli is using Tesseract OCR which is a well known OCR engine. It has its
limitation and in case of working in a bundle with Sikuli still requires some
work.
You can still work directly with Tesseract to try to improve the quality of
recognition. You can find plenty of articles and tutorials on that topic.
Actually for all your question regarding language support and recognition
improvement refer to Tesseract documentation directly.
Regarding image recognition
Sikuli's image matching feature is based on OpenCV's matchTemplate() (you can
see the exact algorithm here:
http://docs.opencv.org/modules/imgproc/doc/object_detection.html).
If you have another efficient image matching algorithm that might be
implemented, feel free to do so.
Not so sure what you meant by "image recognition failure mitigation"
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