Please check out the recent commits in master branch https://github.com/tesseract-ocr/tesseract/pull/2554
On Fri, 19 Jul 2019, 10:55 ElGato ElMago, <[email protected]> wrote: > Hi, > > Let's call them phantom characters then. > > Was psm 7 the solution for the issue 1778? None of the psm option didn't > solve my problem though I see different output. > > I use tesseract 5.0-alpha mostly but 4.1 showed the same results anyway. > How did you get bounding box for each character? Alto and lstmbox > only show bbox for a group of characters. > > ElMagoElGato > > 2019年7月17日水曜日 18時58分31秒 UTC+9 Lorenzo Blz: > >> Phantom characters here for me too: >> >> https://github.com/tesseract-ocr/tesseract/issues/1778 >> >> Are you using 4.1? Bounding boxes were fixed in 4.1 maybe this was also >> improved. >> >> I wrote some code that uses symbols iterator to discard symbols that are >> clearly duplicated: too small, overlapping, etc. But it was not easy to >> make it work decently and it is not 100% reliable with false negatives and >> positives. I cannot share the code and it is quite ugly anyway. >> >> Here there is another MRZ model with training data: >> >> https://github.com/DoubangoTelecom/tesseractMRZ >> >> >> >> >> Lorenzo >> >> >> Il giorno mer 17 lug 2019 alle ore 11:26 Claudiu <[email protected]> ha >> scritto: >> >>> I’m getting the “phantom character” issue as well using the OCRB that >>> Shree trained on MRZ lines. For example for a 0 it will sometimes add both >>> a 0 and an O to the output , thus outputting 45 characters total instead of >>> 44. I haven’t looked at the bounding box output yet but I suspect a phantom >>> thin character is added somewhere that I can discard .. or maybe two chars >>> will have the same bounding box. If anyone else has fixed this issue >>> further up (eg so the output doesn’t contain the phantom characters in the >>> first place) id be interested. >>> >>> On Wed, Jul 17, 2019 at 10:01 AM ElGato ElMago <[email protected]> >>> wrote: >>> >>>> Hi, >>>> >>>> I'll go back to more of training later. Before doing so, I'd like to >>>> investigate results a little bit. The hocr and lstmbox options give some >>>> details of positions of characters. The results show positions that >>>> perfectly correspond to letters in the image. But the text output contains >>>> a character that obviously does not exist. >>>> >>>> Then I found a config file 'lstmdebug' that generates far more >>>> information. I hope it explains what happened with each character. I'm >>>> yet to read the debug output but I'd appreciate it if someone could tell me >>>> how to read it because it's really complex. >>>> >>>> Regards, >>>> ElMagoElGato >>>> >>>> 2019年6月14日金曜日 19時58分49秒 UTC+9 shree: >>>> >>>>> See https://github.com/Shreeshrii/tessdata_MICR >>>>> >>>>> I have uploaded my files there. >>>>> >>>>> https://github.com/Shreeshrii/tessdata_MICR/blob/master/MICR.sh >>>>> is the bash script that runs the training. >>>>> >>>>> You can modify as needed. Please note this is for legacy/base >>>>> tesseract --oem 0. >>>>> >>>>> On Fri, Jun 14, 2019 at 1:26 PM ElGato ElMago <[email protected]> >>>>> wrote: >>>>> >>>>>> Thanks a lot, shree. It seems you know everything. >>>>>> >>>>>> I tried the MICR0.traineddata and the first two mcr.traineddata. The >>>>>> last one was blocked by the browser. Each of the traineddata had mixed >>>>>> results. All of them are getting symbols fairly good but getting spaces >>>>>> randomly and reading some numbers wrong. >>>>>> >>>>>> MICR0 seems the best among them. Did you suggest that you'd be able >>>>>> to update it? It gets tripple D very often where there's only one, and >>>>>> so >>>>>> on. >>>>>> >>>>>> Also, I tried to fine tune from MICR0 but I found that I need to >>>>>> change the language-specific.sh. It specifies some parameters for each >>>>>> language. Do you have any guidance for it? >>>>>> >>>>>> 2019年6月14日金曜日 1時48分40秒 UTC+9 shree: >>>>>>> >>>>>>> see >>>>>>> http://www.devscope.net/Content/ocrchecks.aspx >>>>>>> https://github.com/BigPino67/Tesseract-MICR-OCR >>>>>>> >>>>>>> https://groups.google.com/d/msg/tesseract-ocr/obWI4cz8rXg/6l82hEySgOgJ >>>>>>> >>>>>>> >>>>>>> On Mon, Jun 10, 2019 at 11:21 AM ElGato ElMago <[email protected]> >>>>>>> wrote: >>>>>>> >>>>>>>> That'll be nice if there's traineddata out there but I didn't find >>>>>>>> any. I see free fonts and commercial OCR software but not traineddata. >>>>>>>> Tessdata repository obviously doesn't have one, either. >>>>>>>> >>>>>>>> 2019年6月8日土曜日 1時52分10秒 UTC+9 shree: >>>>>>>>> >>>>>>>>> Please also search for existing MICR traineddata files. >>>>>>>>> >>>>>>>>> On Thu, Jun 6, 2019 at 1:09 PM ElGato ElMago <[email protected]> >>>>>>>>> wrote: >>>>>>>>> >>>>>>>>>> So I did several tests from scratch. In the last attempt, I made >>>>>>>>>> a training text with 4,000 lines in the following format, >>>>>>>>>> >>>>>>>>>> 110004310510< <02 :4002=0181:801= 0008752 <00039 ;0000001000; >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> and combined it with eng.digits.training_text in which symbols >>>>>>>>>> are converted to E13B symbols. This makes about 12,000 lines of >>>>>>>>>> training >>>>>>>>>> text. It's amazing that this thing generates a good reader out of >>>>>>>>>> nowhere. But then it is not very good. For example: >>>>>>>>>> >>>>>>>>>> <01 :1901=1386:021= 1111001<10001< ;0000090134; >>>>>>>>>> >>>>>>>>>> is a result on the image attached. It's close but the last '<' >>>>>>>>>> in the result text doesn't exist on the image. It's a small failure >>>>>>>>>> but it >>>>>>>>>> causes a greater trouble in parsing. >>>>>>>>>> >>>>>>>>>> What would you suggest from here to increase accuracy? >>>>>>>>>> >>>>>>>>>> - Increase the number of lines in the training text >>>>>>>>>> - Mix up more variations in the training text >>>>>>>>>> - Increase the number of iterations >>>>>>>>>> - Investigate wrong reads one by one >>>>>>>>>> - Or else? >>>>>>>>>> >>>>>>>>>> Also, I referred to engrestrict*.* and could generate similar >>>>>>>>>> result with the fine-tuning-from-full method. It seems a bit faster >>>>>>>>>> to get >>>>>>>>>> to the same level but it also stops at a 'good' level. I can go with >>>>>>>>>> either way if it takes me to the bright future. >>>>>>>>>> >>>>>>>>>> Regards, >>>>>>>>>> ElMagoElGato >>>>>>>>>> >>>>>>>>>> 2019年5月30日木曜日 15時56分02秒 UTC+9 ElGato ElMago: >>>>>>>>>>> >>>>>>>>>>> Thanks a lot, Shree. I'll look it in. >>>>>>>>>>> >>>>>>>>>>> 2019年5月30日木曜日 14時39分52秒 UTC+9 shree: >>>>>>>>>>>> >>>>>>>>>>>> See https://github.com/Shreeshrii/tessdata_shreetest >>>>>>>>>>>> >>>>>>>>>>>> Look at the files engrestrict*.* and also >>>>>>>>>>>> https://github.com/Shreeshrii/tessdata_shreetest/blob/master/eng.digits.training_text >>>>>>>>>>>> >>>>>>>>>>>> Create training text of about 100 lines and finetune for 400 >>>>>>>>>>>> lines >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> On Thu, May 30, 2019 at 9:38 AM ElGato ElMago < >>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> I had about 14 lines as attached. How many lines would you >>>>>>>>>>>>> recommend? >>>>>>>>>>>>> >>>>>>>>>>>>> Fine tuning gives much better result but it tends to pick >>>>>>>>>>>>> other character than in E13B that only has 14 characters, 0 >>>>>>>>>>>>> through 9 and 4 >>>>>>>>>>>>> symbols. I thought training from scratch would eliminate such >>>>>>>>>>>>> confusion. >>>>>>>>>>>>> >>>>>>>>>>>>> 2019年5月30日木曜日 10時43分08秒 UTC+9 shree: >>>>>>>>>>>>>> >>>>>>>>>>>>>> For training from scratch a large training text and hundreds >>>>>>>>>>>>>> of thousands of iterations are recommended. >>>>>>>>>>>>>> >>>>>>>>>>>>>> If you are just fine tuning for a font try to follow >>>>>>>>>>>>>> instructions for training for impact, with your font. >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Thu, 30 May 2019, 06:05 ElGato ElMago, < >>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> Thanks, Shree. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Yes, I saw the instruction. The steps I made are as follows: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Using tesstrain.sh: >>>>>>>>>>>>>>> src/training/tesstrain.sh --fonts_dir /usr/share/fonts >>>>>>>>>>>>>>> --lang eng --linedata_only \ >>>>>>>>>>>>>>> --noextract_font_properties --langdata_dir ../langdata \ >>>>>>>>>>>>>>> --tessdata_dir ./tessdata \ >>>>>>>>>>>>>>> --fontlist "E13Bnsd" --output_dir ~/tesstutorial/e13beval \ >>>>>>>>>>>>>>> --training_text ../langdata/eng/eng.training_e13b_text >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Training from scratch: >>>>>>>>>>>>>>> mkdir -p ~/tesstutorial/e13boutput >>>>>>>>>>>>>>> src/training/lstmtraining --debug_interval 100 \ >>>>>>>>>>>>>>> --traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>> --net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 >>>>>>>>>>>>>>> Lfx256 O1c111]' \ >>>>>>>>>>>>>>> --model_output ~/tesstutorial/e13boutput/base >>>>>>>>>>>>>>> --learning_rate 20e-4 \ >>>>>>>>>>>>>>> --train_listfile >>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt \ >>>>>>>>>>>>>>> --eval_listfile >>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt \ >>>>>>>>>>>>>>> --max_iterations 5000 >>>>>>>>>>>>>>> &>~/tesstutorial/e13boutput/basetrain.log >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Test with base_checkpoint: >>>>>>>>>>>>>>> src/training/lstmeval --model >>>>>>>>>>>>>>> ~/tesstutorial/e13boutput/base_checkpoint \ >>>>>>>>>>>>>>> --traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>> --eval_listfile >>>>>>>>>>>>>>> ~/tesstutorial/e13beval/eng.training_files.txt >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Combining output files: >>>>>>>>>>>>>>> src/training/lstmtraining --stop_training \ >>>>>>>>>>>>>>> --continue_from ~/tesstutorial/e13boutput/base_checkpoint \ >>>>>>>>>>>>>>> --traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \ >>>>>>>>>>>>>>> --model_output ~/tesstutorial/e13boutput/eng.traineddata >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Test with eng.traineddata: >>>>>>>>>>>>>>> tesseract e13b.png out --tessdata-dir >>>>>>>>>>>>>>> /home/koichi/tesstutorial/e13boutput >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> The training from scratch ended as: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> At iteration 561/2500/2500, Mean rms=0.159%, delta=0%, char >>>>>>>>>>>>>>> train=0%, word train=0%, skip ratio=0%, New best char error = >>>>>>>>>>>>>>> 0 wrote best >>>>>>>>>>>>>>> model:/home/koichi/tesstutorial/e13boutput/base0_561.checkpoint >>>>>>>>>>>>>>> wrote >>>>>>>>>>>>>>> checkpoint. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> The test with base_checkpoint returns nothing as: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> At iteration 0, stage 0, Eval Char error rate=0, Word error >>>>>>>>>>>>>>> rate=0 >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> The test with eng.traineddata and e13b.png returns out.txt. >>>>>>>>>>>>>>> Both files are attached. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Training seems to have worked fine. I don't know how to >>>>>>>>>>>>>>> translate the test result from base_checkpoint. The generated >>>>>>>>>>>>>>> eng.traineddata obviously doesn't work well. I suspect the >>>>>>>>>>>>>>> choice of >>>>>>>>>>>>>>> --traineddata in combining output files is bad but I have no >>>>>>>>>>>>>>> clue. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Regards, >>>>>>>>>>>>>>> ElMagoElGato >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> BTW, I referred to your tess4training in the process. It >>>>>>>>>>>>>>> helped a lot. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> 2019年5月29日水曜日 19時14分08秒 UTC+9 shree: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> see >>>>>>>>>>>>>>>> https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#combining-the-output-files >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> On Wed, May 29, 2019 at 3:18 PM ElGato ElMago < >>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Hi, >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> I wish to make a trained data for E13B font. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> I read the training tutorial and made a base_checkpoint >>>>>>>>>>>>>>>>> file according to the method in Training From Scratch. Now, >>>>>>>>>>>>>>>>> how can I make >>>>>>>>>>>>>>>>> a trained data from the base_checkpoint file? >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>> 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/4848cfa5-ae2b-4be3-a771-686aa0fec702%40googlegroups.com >>>>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/4848cfa5-ae2b-4be3-a771-686aa0fec702%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout >>>>>>>>>>>>>>>>> . >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>> 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/7f29f47e-c6f5-4743-832d-94e7d28ab4e8%40googlegroups.com >>>>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/7f29f47e-c6f5-4743-832d-94e7d28ab4e8%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/2c6fe865-911d-41f3-9926-cbfb56db794f%40googlegroups.com >>>>>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/2c6fe865-911d-41f3-9926-cbfb56db794f%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>>>>> . >>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> -- >>>>>>>>>>>> >>>>>>>>>>>> ____________________________________________________________ >>>>>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>> 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/5b151e61-5b41-4191-8d26-784809ef8e10%40googlegroups.com >>>>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/5b151e61-5b41-4191-8d26-784809ef8e10%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>>>> . >>>>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> >>>>>>>>> ____________________________________________________________ >>>>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>>>> >>>>>>>> -- >>>>>>>> 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/09d3119c-d093-4269-bf3a-3ddb467ed0ed%40googlegroups.com >>>>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/09d3119c-d093-4269-bf3a-3ddb467ed0ed%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>>>> . >>>>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> >>>>>>> ____________________________________________________________ >>>>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>>>> >>>>>> -- >>>>>> 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/856a44a7-5127-45cd-9c7d-b9684eba8089%40googlegroups.com >>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/856a44a7-5127-45cd-9c7d-b9684eba8089%40googlegroups.com?utm_medium=email&utm_source=footer> >>>>>> . >>>>>> For more options, visit https://groups.google.com/d/optout. >>>>>> >>>>> >>>>> >>>>> -- >>>>> >>>>> ____________________________________________________________ >>>>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >>>>> >>>> -- >>>> 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/97a1fc89-06eb-45f6-865d-fee2c132789d%40googlegroups.com >>>> <https://groups.google.com/d/msgid/tesseract-ocr/97a1fc89-06eb-45f6-865d-fee2c132789d%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/CAGJ7VxFmnQ2_3B825CdsrLYi5%2BWCD8OxEVLC29LwnXGkTx_q6Q%40mail.gmail.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/CAGJ7VxFmnQ2_3B825CdsrLYi5%2BWCD8OxEVLC29LwnXGkTx_q6Q%40mail.gmail.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/71f7d6bd-b8a7-4057-b1bf-ab02db544579%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/71f7d6bd-b8a7-4057-b1bf-ab02db544579%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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