So not possible with tesseract? 2015-01-08 18:22 GMT+02:00 Gokcer Gunes <[email protected]>:
> yes i mean yes like any point in space between lines,so i can say say > "crop area that between y1 and y2 points".Because i think tesseract able to > detect lines ,so i thought i can get mininum bottom point of first line > words and top point of 2. line words > > 2015-01-08 18:09 GMT+02:00 Allistair <[email protected]>: > >> No problem. Not sure I understand what you mean by detect points - a >> point to me is an (x, y) coordinate. Do you mean space? In any case, >> Tesseract is not going to do anything like that I think - you will need to >> perform image preprocessing to do that using Open CV or something. >> >> On 8 January 2015 at 16:02, Gokcer Gunes <[email protected]> wrote: >> >>> 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 tesseract-oc...@ >>>>>>>>>>>>>>>>>>>> googlegroups.com. 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