This is the image I am providing to Tesseract https://dl.dropboxusercontent.com/u/523401/code.png
It's your image with a quick threshold performed in Photoshop. Notice that you need to ensure the threshold makes all text black. On 8 January 2015 at 13:47, Gokcer Gunes <ggunes...@gmail.com> wrote: > i tried with threshold filters too but i didnt get good results,best > result for me was this way.Can i ask what threshould number you used for > this images. > > 2015-01-08 14:30 GMT+02:00 Allistair <allist...@gmail.com>: > >> Well, I must say I am unsure why one image works for that line and not >> the other. Clearly the addition of other lines of text is causing >> Tesseract's classification system to go slightly awry - must be learning >> something with the addition of the new text that it feeds back to the 1st >> and gets it wrong. >> >> However, I was easily able to get a perfect read on both of them by >> performing a simple threshold filter (turning all text dark black) before >> providing to Tesseract. >> >> On 8 January 2015 at 00:01, Gokcer Gunes <ggunes...@gmail.com> wrote: >> >>> First original Image which sended to tesseract >>> [image: Satır içi resim 1] >>> Second Original Image which sended to tesseract >>> >>> [image: Satır içi resim 2] >>> and outputs are in image which you already saw >>> >>> 2015-01-08 1:24 GMT+02:00 Gokcer Gunes <ggunes...@gmail.com>: >>> >>>> yes i will get and upload them asap >>>> >>>> >>>> 2015-01-08 1:24 GMT+02:00 Gokcer Gunes <ggunes...@gmail.com>: >>>> >>>>> ah no its not noise there is no noise in original img it just result >>>>> of crop in paint >>>>> >>>>> >>>>> 2015-01-08 1:21 GMT+02:00 Allistair C <allist...@gmail.com>: >>>>> >>>>>> Ah, I see - interesting :) The 2nd example isn't quite the same - it >>>>>> seems to have some noise on the left hand edge. Also, what PSM are you >>>>>> using? Can you send original size images you send to Tesseract? >>>>>> >>>>>> On Wednesday, 7 January 2015 23:05:08 UTC, Gokcer Gunes wrote: >>>>>>> >>>>>>> they are input image and output result ,inputs have same first line >>>>>>> but in first output M is correctly converted to M but in 2. output M is >>>>>>> converted to H >>>>>>> >>>>>>> 2015-01-08 1:00 GMT+02:00 Allistair <alli...@gmail.com>: >>>>>>> >>>>>>>> I see the pictures, yes, but I don't understand the question. Can >>>>>>>> you elaborate in detail what the issue is? >>>>>>>> >>>>>>>> On 7 January 2015 at 22:48, Gokcer Gunes <ggun...@gmail.com> wrote: >>>>>>>> >>>>>>>>> i uploaded them as pictures >>>>>>>>> >>>>>>>>> 2015-01-08 0:29 GMT+02:00 Gokcer Gunes <ggun...@gmail.com>: >>>>>>>>> >>>>>>>>>> yeah resul pictures are in message you cant see them? >>>>>>>>>> >>>>>>>>>> 2015-01-07 23:56 GMT+02:00 Allistair C <alli...@gmail.com>: >>>>>>>>>> >>>>>>>>>>> Your question is not self-evident, what are you trying to ask? >>>>>>>>>>> Can you present your OCR results for each test you are conducting? >>>>>>>>>>> >>>>>>>>>>> On Monday, 5 January 2015 18:16:12 UTC, Gokcer Gunes wrote: >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> <https://lh3.googleusercontent.com/-QtKcTsT8fGY/VKrU2Bz4zZI/AAAAAAAAAD4/nCbru06vKac/s1600/testry2.png> >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> <https://lh6.googleusercontent.com/-FH8hQKrguns/VKrU0KDbMjI/AAAAAAAAADw/OMBj2VRxtyo/s1600/testry1.png> >>>>>>>>>>>> Examples is at above,what i 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