Hello, I am trying to figure out exactly what effect the font_properties file has. I have already performed a number of trainings with great success. However, there are a few letter confusions that dominate the error rate and which I would like to reduce. Here is the setup: There really is only one font. My training samples are spread over ten separate single-page TIFF files from which I have created ten separate .tr files. Some of these contain very many characters, some only a few (typically the rare ones to make sure they are present). At first I have created a font_properties file with ten lines each containing the name of one .tr file (the flags were all set to zero). This gave pretty good results. Then I remembered that all samples of the same font are recommended to be in one .tr file. My guess was that I had needlessly let tesseract try to distinguish ten identical fonts. So following the recommendation I concatenated all .tr files into one and reduced the font_properties file to just one line. This however actually gave worse results! So how do the font_properites affect training? Thank in advance for any help! Marcus
-- 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
