Where do you have your source files for english langdata? If it is in a directory such as ../langdata/eng/ then put the common.unicharset, latin.unicharset and font_properties etc in ../langdata
ShreeDevi ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com On Mon, Jun 19, 2017 at 8:34 PM, David Barishev <[email protected]> wrote: > Thanks for the replay, > If you mean if i have the latin and common unicharset in the tessdata > direcotry( /usr/share/tesseract-ocr/tessdata ),i have downloaded them > and placed them in the directory and still getting the same behavior. > I have also tried doing it from my windows machine which has 3.05 version, > and had same behavior . > > On Monday, June 19, 2017 at 2:58:40 PM UTC+3, shree wrote: >> >> do u have the common and latin unicharset in ur langdata directory. >> >> See https://github.com/tesseract-ocr/langdata >> >> Try to build the latest 3.05.01 version. >> >> ShreeDevi >> ____________________________________________________________ >> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >> >> On Mon, Jun 19, 2017 at 3:23 PM, David Barishev <[email protected]> >> wrote: >> >>> Hello all! >>> Im trying to train tesseract to recognize a new font in English ( >>> supercell-magic). >>> I have created a .tif file and matching .box file using jTessBoxEditor ( >>> eng.supercell-magic.exp0.tif and eng.supercell-magic.exp0.box ), and >>> trained tesseract with them. >>> >>> Here is tesseracts's output: >>> $ tesseract eng.supercell-magic.exp0.tif eng.supercell-magic.exp0 >>> box.train >>> Tesseract Open Source OCR Engine v3.04.01 with Leptonica >>> Page 1 >>> row xheight=30, but median xheight = 37.5455 >>> APPLY_BOXES: >>> Boxes read from boxfile: 1559 >>> Found 1559 good blobs. >>> Generated training data for 34 words >>> Page 2 >>> APPLY_BOXES: >>> Boxes read from boxfile: 1677 >>> Found 1677 good blobs. >>> Generated training data for 34 words >>> Page 3 >>> APPLY_BOXES: >>> Boxes read from boxfile: 1362 >>> Found 1362 good blobs. >>> Generated training data for 28 words >>> >>> >>> So the next step is to extract the characters using unicharset_extractor. >>> There was a normal output for it : >>> $ unicharset_extractor eng.supercell-magic.exp0.box >>> Extracting unicharset from eng.supercell-magic.exp0.box >>> Wrote unicharset file ./unicharset. >>> >>> But when i view the file, it's mostly 0 and 255, which is not like the >>> example in the wiki >>> <https://github.com/tesseract-ocr/tesseract/wiki/Training-Tesseract#an-example-of-the-unicharset-file> >>> : >>> An example of the unicharset file >>> >>> 110 >>> NULL 0 NULL 0 >>> N 5 59,68,216,255,87,236,0,27,104,227 Latin 11 0 1 N >>> Y 5 59,68,216,255,91,205,0,47,91,223 Latin 33 0 2 Y >>> 1 8 59,69,203,255,45,128,0,66,74,173 Common 3 2 3 1 >>> 9 8 18,66,203,255,89,156,0,39,104,173 Common 4 2 4 9 >>> a 3 58,65,186,198,85,164,0,26,97,185 Latin 56 0 5 a >>> ... >>> >>> >>> Mine looks more like this: >>> >>> 74 >>> NULL 0 NULL 0 >>> Joined 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # Joined [4a 6f 69 6e >>> 65 64 ] >>> |Broken|0|1 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # Broken >>> t 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # t [74 ] >>> h 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # h [68 ] >>> a 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # a [61 ] >>> n 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # n [6e ] >>> P 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # P [50 ] >>> o 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # o [6f ] >>> e 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # e [65 ] >>> : 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # : [3a ] >>> r 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # r [72 ] >>> l 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # l [6c ] >>> i 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # i [69 ] >>> 1 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # 1 [31 ] >>> N 0 0,255,0,255,0,0,0,0,0,0 NULL 0 0 0 # N [4e ] >>> >>> Why is that ? Thanks in advances. >>> >>> Im using ubuntu 16.04 with tesseract version: >>> >>> tesseract 3.04.01 >>> leptonica-1.73 >>> libgif 5.1.2 : libjpeg 8d (libjpeg-turbo 1.4.2) : libpng 1.2.54 : libtiff >>> 4.0.6 : zlib 1.2.8 : libwebp 0.4.4 : libopenjp2 2.1.0 >>> >>> I have attached the box and tiff file and the data file, and the >>> unicharset 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/ms >>> gid/tesseract-ocr/cd052525-9eb7-4527-b75b-82e1a687997d%40goo >>> glegroups.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/cd052525-9eb7-4527-b75b-82e1a687997d%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/3789eb00-d438-4efe-afc3-ce3e3dc60aa2% > 40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/3789eb00-d438-4efe-afc3-ce3e3dc60aa2%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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