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 unsubscribe from this group and stop receiving >>>>>>>>>>>>>>>>>>>>>>>> emails from it, 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