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. >>>>>>>>>>>>>>>>>>>>>>>>>>> To 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