And i did threshold too and i got same results with you for this inputs ,but for some other inputs threshold causes them to recognize wrong such as * recognizing as ' .My images recognizing great for single line and with 1-2 mistake for multiple lines so i need to solve that.Thanks for great response and i will be very happy if you can return me ever got idea what causes that problem:).And also a last thing can i detect points between lines with tesseract to seperate image into multiple single line image?
2015-01-08 17:56 GMT+02:00 Allistair <[email protected]>: > :) I hear you, I do. From the input image perspective I looked at the 2 > Kaliko words and they match at the pixel level. Some part of Tesseract's > internal classification system is falling over a bit here, I cannot tell > you why, I can only say that OCR is not a perfect technology. It works on > machine learning and classification of probabilities. What seems simple to > us is not necessarily so to the OCR engine. It could be that by the time it > gets to the 2nd Kaliko it thinks it has improved the 'l' recognition from > the previous text to be a '1' - Tesseract has this adaptive classifier - > but I am only guessing, maybe others have better ideas. > > On 8 January 2015 at 15:24, Gokcer Gunes <[email protected]> wrote: > >> and also why is that? i mean at 3. line there is both KalikoImage which >> is same,but first is correctly translated to text and second one is with >> one mistake >> >> 2015-01-08 17:17 GMT+02:00 Allistair <[email protected]>: >> >>> It works for me with just the threshold and no scaling (however, there >>> is an error in the 2nd Kaliko where the l is misrecognised as a 1): >>> >>> https://dl.dropboxusercontent.com/u/523401/codethres.png >>> >>> --- >>> >>> Memorystream memstream = new MemoryStream(); >>> >>> bitmap.Save(memstream, System.Drawing.Imaging.ImageFormat.Png); >>> >>> Kalikolmage imgklk = new Ka1ikoImage(memstream); >>> >>> >>> On 8 January 2015 at 14:22, Gokcer Gunes <[email protected]> wrote: >>> >>>> Yeah with more size it works better and better but it takes more time >>>> also thats why im only scaling 2x around.And can i ask did you try with >>>> only threshold or threshold+scaling >>>> >>>> 2015-01-08 16:16 GMT+02:00 Allistair <[email protected]>: >>>> >>>>> Oh, I also scaled the image up to 2000px wide. Larger images often >>>>> work better with Tesseract so a pre-filter or sampling up can help. >>>>> >>>>> On 8 January 2015 at 14:16, Allistair <[email protected]> wrote: >>>>> >>>>>> 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 <[email protected]> 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 <[email protected]>: >>>>>>> >>>>>>>> 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 <[email protected]> >>>>>>>> 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 <[email protected]>: >>>>>>>>> >>>>>>>>>> yes i will get and upload them asap >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> 2015-01-08 1:24 GMT+02:00 Gokcer Gunes <[email protected]>: >>>>>>>>>> >>>>>>>>>>> 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 <[email protected]>: >>>>>>>>>>> >>>>>>>>>>>> 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 <[email protected]>: >>>>>>>>>>>>> >>>>>>>>>>>>>> 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 <[email protected]> >>>>>>>>>>>>>> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> i uploaded them as pictures >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> 2015-01-08 0:29 GMT+02:00 Gokcer Gunes <[email protected]>: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> yeah resul pictures are in message you cant see them? >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> 2015-01-07 23:56 GMT+02:00 Allistair C <[email protected]>: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> 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 am doing wrong? >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>> 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]. 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