Have you tried the generally useful increasing your image sizes until it works approach? Not sure if the samples you posted were the actual size but in the past I have read this problem *can* lessen with larger image sizes - even artificially upsampled images.
On 27 June 2016 at 09:37, Timothy Korse <[email protected]> wrote: > 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]> 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]. >>> To post to this group, send email to [email protected]. >>> 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. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > 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/c57fdcb6-10df-4ad9-9822-c0dc46c9ccde%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/c57fdcb6-10df-4ad9-9822-c0dc46c9ccde%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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