okay thanks again ,then i will play with some parameters to see any changes by any luck:) have a nice day:)
2015-01-12 14:11 GMT+02:00 Allistair <[email protected]>: > Doubt it, I tried once ;) > > On 12 January 2015 at 12:03, Gokcer Gunes <[email protected]> wrote: > >> finaly i was able to change it but no luck even turning off:( ,thanks for >> your time:) and if i send mail to raysmith about this problem, any chance >> will he reply? >> >> 2015-01-12 12:25 GMT+02:00 Allistair <[email protected]>: >> >>> Look up your platform's way of calling SetVariable. >>> >>> On 12 January 2015 at 10:22, Gokcer Gunes <[email protected]> wrote: >>> >>>> im using c# winform application,can i ask how to do that command in >>>> c#:) >>>> >>>> 2015-01-12 12:17 GMT+02:00 Allistair <[email protected]>: >>>> >>>>> 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. 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