Okay understand ,thanks for great help and have a nice day:) 2015-01-09 0:21 GMT+02:00 Allistair C <[email protected]>:
> No they best you could do is look at one of the many config params to see > if you can influence the engine, e.g disable adaptive classifier (not sure > if that's possible or even beneficial) but whatever is causing your issue > might be targetable via config but the config is not very well documented . > If you wanted to feed line by line you would need to do that outside of > tesseract and may be easier than the config method. > > Sent from my iPhone > > On 8 Jan 2015, at 22:16, Gokcer Gunes <[email protected]> wrote: > > 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 >>>>>>>>>>>>> <temppng.png> >>>>>>>>>>>>> Second Original Image which sended to tesseract >>>>>>>>>>>>> >>>>>>>>>>>>> <temppng.png> >>>>>>>>>>>>> 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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