Hi Alistair, Thank you for your response. Yes I actually tried that without luck. I think unicharambigs is useful when using dictionaries, which I do not use. I simply can't substitute a 2 by a Z because it might as well be a 2.
I tried the following format: v1 1 Z 1 2 x 1 2 1 Z x 1 G 1 6 x 1 6 1 G x 1 M 1 H x 1 H 1 M x Where x is ofcourse the mode. For this setting I tried 0, 1 and 3. Unfortunately other modes than 0 and 1 are not documented. I thought looking at the source code of Tesseract that 3 might do the trick, but it didn't. Am I doing something wrong? Op zondag 26 juni 2016 22:49:09 UTC+2 schreef Allistair C: > > Did you ever look at incorporating the unicharambigs file into your > training? > > > http://www.resolveradiologic.com/blog/2013/01/16/more-on-training-tesseract/ > > On 26 June 2016 at 15:09, Timothy Korse <[email protected] <javascript:> > > wrote: > >> I'm trying to configurate tesseract to recognize *alphanumeric strings* of >> 10 characters long (all uppercase). >> >> >> This works pretty good, except it seems to mix up the following >> characters pretty often: >> >> - 2 and Z >> - 6 and G >> >> >> Examples of images are: >> >> >> <https://lh3.googleusercontent.com/-20dr7dBmT9c/V2_eMKE7TtI/AAAAAAAAAKw/ENcZMZogPws1elcz7BV0WRsE4B8M22IWgCKgB/s1600/X2JR6XK6VGMQP2L5.jpg> >> >> >> <https://lh3.googleusercontent.com/-MysZA6TlqI0/V2_eQyVCOzI/AAAAAAAAAKw/LgUKmhGzsvcfod1bHLEIRfBtKO7-dCodQCKgB/s1600/X2LHV6KHPJ5TFTDK.jpg> >> >> >> <https://lh3.googleusercontent.com/-s6QuiuY_GK8/V2_eUtSCvBI/AAAAAAAAAKw/nM-vnz9SCvQ2OWPuwytKJirJMCS4kIGqgCKgB/s1600/X3K9V5XKQV3Z5QT5.jpg> >> >> >> <https://lh3.googleusercontent.com/-QVLjGd9Lcik/V2_eYvEDsJI/AAAAAAAAAKw/c_s5sYdtE0AbFZX8OqNiEAAvrnooYD6pwCKgB/s1600/X3P92TR7Q93F2G9F.jpg> >> >> >> <https://lh3.googleusercontent.com/-wfH5bpBqC5E/V2_egk0Sj3I/AAAAAAAAAKw/-da1JPAT_hUF5CEn6c9FkkZqANu3TDtngCKgB/s1600/X4NT7CFMH2GR7HXZ.jpg> >> >> >> <https://lh3.googleusercontent.com/-KHssFqw1XyE/V2_emEmR4yI/AAAAAAAAAK0/kftsbb0E65os-rdIlkHxpqT8Ip7gkWWbwCKgB/s1600/X4QGN9XQ3KP69YZX.jpg> >> >> These are preprocessed. I think this process was successfully done. I'll >> glad to hear otherwise. >> >> >> This is how I run Tesseract: >> >> >> tesseract = new Tesseract(); >> tesseract.setOcrEngineMode(TessAPI.TessOcrEngineMode.OEM_TESSERACT_ONLY); >> tesseract.setPageSegMode(7); >> tesseract.setTessVariable("load_system_dawg", "0"); >> tesseract.setTessVariable("load_freq_dawg", "0"); >> tesseract.setTessVariable("load_punc_dawg", "0"); >> tesseract.setTessVariable("load_number_dawg", "0"); >> tesseract.setTessVariable("load_unambig_dawg", "0"); >> tesseract.setTessVariable("load_bigram_dawg", "0"); >> tesseract.setTessVariable("load_fixed_length_dawgs", "0"); >> >> tesseract.setTessVariable("classify_enable_learning", "0"); >> tesseract.setTessVariable("classify_enable_adaptive_matcher", "0"); >> >> tesseract.setTessVariable("segment_penalty_garbage", "0"); >> tesseract.setTessVariable("segment_penalty_dict_nonword", "0"); >> tesseract.setTessVariable("segment_penalty_dict_frequent_word", "0"); >> tesseract.setTessVariable("segment_penalty_dict_case_ok", "0"); >> tesseract.setTessVariable("segment_penalty_dict_case_bad", "0"); >> >> >> *Note that this is Java code, but my question is not limited to Java.* >> >> I am not really experienced with Tesseract and seem to find the >> documentation very unclear. I hope someone else can help me out. >> ------------------------------ >> >> To give some more context: >> >> >> *How do I train Tesseract?* >> >> >> I train Tesseract by combining over 200 images into one image. Every >> image contains 10 alphanumeric characters. Also, I am sure the box file is >> correct. >> >> >> I build the final language by executing the following batch script: >> >> tesseract qwe.combined.jpg qwe.combined.box nobatch box.train >> >> echo combined 1 0 0 0 0 > font_properties >> >> unicharset_extractor qwe.combined.box >> >> shapeclustering -F font_properties -U unicharset qwe.combined.box.tr >> >> mftraining -F font_properties -U unicharset -O qwe.unicharset >> qwe.combined.box.tr >> >> cntraining qwe.combined.box.tr >> >> copy inttemp qwe.inttemp >> copy normproto qwe.normproto >> copy pffmtable qwe.pffmtable >> copy shapetable qwe.shapetable >> >> combine_tessdata qwe. >> >> ------------------------------ >> >> How can I make Tesseract discriminate better between the 2, Z, 6 and G? >> >> -- >> You received this message because you are subscribed to the Google Groups >> "tesseract-ocr" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> To post to this group, send email to [email protected] >> <javascript:>. >> Visit this group at https://groups.google.com/group/tesseract-ocr. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/tesseract-ocr/bba1f122-6bb2-43f6-9a7d-9daa75f5323e%40googlegroups.com >> >> <https://groups.google.com/d/msgid/tesseract-ocr/bba1f122-6bb2-43f6-9a7d-9daa75f5323e%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. 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