Try turning it off to see if anything useful happens ... classify_enable_learning 0 classify_enable_adaptive_matcher 0
On 12 January 2015 at 10:05, Gokcer Gunes <[email protected]> wrote: > hi me again, is there any other forum i can ask about turning off that > adaptive modifier? i mean people who deal with config parameters etc > > 2015-01-09 0:37 GMT+02:00 Gokcer Gunes <[email protected]>: > >> 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 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