For a project I want to recognize the text taken from screenshots from programs and games.
I have a lot of assumed knowledge which should help me with the recognition: - The font used is usually arial 12pt, plus one or two others. - Background is (usually) black - Font can be different colors, including white - Vocabulary is quite limited and definitely exhaustive (subset of english). - Aside from interpuntion, no non-english characters are used. Out of the box this does not perform anywhere near acceptable accuracy so I need to manually train. How should I train this? Should I be using the actual screenshots, where the text is quite small, pixelly and not well spaced (font size 12 is not big) or should I make my own training images in every possible color on black background in a bigger font size with larger spacing? If I attempt to generate a box file it is absolute rubbish. Do I need to preprocess the images to black/white or should color be fine? Note that anti-aliased screenshots dont look well when flattened to black/white. Should I be worried about images, lines, borders and other non-text elements in my screenshots? Will tesseract gracefully skip these? Any advice specifically to my situation would help. -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/tesseract-ocr?hl=en
