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. >>>>>>>>>>>>>>>>>>> To post to this 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