Yes, these images are actually upsampled. The height of the caracters from the input source is about 20 pixels. Now they are about 100 pixels, I can see the difference between the 2 and the Z for instance quite strong. So I am sure that Tesseract can too.
Please let me know if someone needs more information in order to help me out. I really appreciate your help! Op maandag 27 juni 2016 10:52:58 UTC+2 schreef Allistair C: > > 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] <javascript:> > > 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] <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/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. 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/07f632a9-a4d5-4234-8478-ec1a22bbd5da%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
