take a look at hocr output and tsv option from https://code.google.com/r/email-hocr-tsv/
ShreeDevi ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com On Sat, Nov 15, 2014 at 3:39 PM, Simon Støvring <simonstoevr...@gmail.com> wrote: > I have tried with the English traineddata and got similar results. > However, I had not tried recognizing the entire 'prepared-image' with psm 6 > and I see that gives pretty good results. > The thing is, I need to know the location of each character. That is which > row and column it is placed on. If Tesseract fails recognizing a single > letter when recognizing the entire image, I have no way of knowing which > letter is missing and therefore I do not know the location of any of the > letters. > > Den fredag den 14. november 2014 18.24.15 UTC+1 skrev shree: >> >> Have you tried with the existing english traineddata? >> >> I get good recognition with your 'prepared-image'? >> >> If that is the kind of image you need to OCR, you could do that with psm >> 6 and then split each letter separately? >> >> ShreeDevi >> ____________________________________________________________ >> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >> >> On Fri, Nov 14, 2014 at 7:12 PM, Simon Støvring <simonst...@gmail.com> >> wrote: >> >>> Hello, >>> >>> I am trying to recognize single characters written with the Gotham Bold >>> font. I have trained Tesseract by following Michael Jay Lissners guide >>> "Adding New Fonts to Tesseract 3 OCR Engine" >>> <http://michaeljaylissner.com/posts/2012/02/11/adding-new-fonts-to-tesseract-3-ocr-engine/>. >>> I trained it using a newspaper article and removed all characters that I am >>> not interested in as well as making sure all characters are upper case as I >>> am not going to match lower case characters. >>> >>> I run Tesseract with my custom language and with page segmentation set >>> to 10, which treat the image as a single character. >>> >>> While most of the matches are fine, I am getting a lot of incorrect >>> matches. For example, the below image of the letter "B" is matched as an >>> "X". I cannot figure out why this is. >>> >>> >>> <https://lh4.googleusercontent.com/-AOLPnD7nXJY/VGYC58I-roI/AAAAAAAAASQ/kTJq9eSNMy4/s1600/0-4.png> >>> >>> And the "B" below which looks the same as the above but it is in fact >>> not the same image, is not matched to anything. Tesseract does not know >>> what is on the image. >>> >>> >>> <https://lh4.googleusercontent.com/-b0kMaAzcN-Y/VGYFI6NOzjI/AAAAAAAAASk/c9EfpR8CjWI/s1600/1-7.png.png> >>> >>> >>> The below "C" is not matched to anything. Tesseract cannot figure out >>> what is on the image. >>> >>> >>> <https://lh5.googleusercontent.com/-ZKl8jE2Orto/VGYEs2xzGlI/AAAAAAAAASc/2xTXomhIkWI/s1600/0-8.png> >>> The same goes for the "U" below. >>> >>> >>> <https://lh5.googleusercontent.com/-fciIyBe9bDw/VGYFRh3YBNI/AAAAAAAAASs/29WZQUHqPmE/s1600/1-8.png> >>> And it thinks the "E" below is a "K". >>> >>> >>> <https://lh4.googleusercontent.com/-ZZFkr77drgM/VGYFcDydDXI/AAAAAAAAAS0/RQ1UO8U3rOY/s1600/1-9.png> >>> >>> The above errors are just examples. There are others but I think those >>> four examples illustrate the quirks I'm currently dealing with. >>> >>> I manually slice the image below into images of single characters like >>> the ones above. Maybe a completely different approach is better? >>> >>> >>> <https://lh4.googleusercontent.com/-TfwZnXosqB0/VGYFjLppJ9I/AAAAAAAAAS8/Oun76IHLwks/s1600/prepared_image.png> >>> Does anyone know how I can improve the recognition of single characters? >>> I'ld like the above examples to match correctly but generally it's just not >>> good enough and I'ld like to know if there's any way I can improve it. >>> Should I train differently? Should I pass other configurations or should I >>> process the images before trying to recognize the characters? >>> >>> Best regards, >>> Simon B. Støvring >>> >>> -- >>> 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 tesseract-oc...@googlegroups.com. >>> To post to this group, send email to tesser...@googlegroups.com. >>> Visit this group at http://groups.google.com/group/tesseract-ocr. >>> To view this discussion on the web visit https://groups.google.com/d/ >>> msgid/tesseract-ocr/e905020c-f0b2-47b6-b09c-e01efa96dcc1% >>> 40googlegroups.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/e905020c-f0b2-47b6-b09c-e01efa96dcc1%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 tesseract-ocr+unsubscr...@googlegroups.com. > To post to this group, send email to tesseract-ocr@googlegroups.com. > Visit this group at http://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/44df342b-9d7f-42bf-9d1f-d2a9028426ac%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/44df342b-9d7f-42bf-9d1f-d2a9028426ac%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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