Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

I normally use a custom python file to generate the training text. Attaching a sample text corpus containing only digits 1234. On Wed, Jul 18, 2018 at 12:04 PM Ramakant Kushwaha < ramakant.sing...@gmail.com> wrote: > @Soumik,Thanks Soumik, but I am not getting it, please provide me some > links t

Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

Follow https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00 to create the traineddata. Copy the eng.traineddata file to $TESSDATA_PREFIX directory, and you'll be good to go. On Wed, Jul 18, 2018 at 1:20 PM Soumik Ranjan Dasgupta < srd1...@cse.jgec.ac.in> wrote: > I normally use

Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

​​ This is exactly the MNIST problem . I would not use tesseract for this. You can download something like this: https://github.com/EN10/KerasMNIST that comes with pre-trained models too. The problem you'll have will be to extract the di

Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

@Lorenzo As per my understanding MNIST in useful for detecting individual char/digit, so for using MNIST I have to do below steps,* correct me if i am wrong* 1. Gray + Threshold (Opencv) 2. Extract Connected components (MSER opencv) 3. run a loop over connected components list(sorted) and crop in

[tesseract-ocr] Re: java.lang.UnsatisfiedLinkError in tess4j

That was old posts for older versions. You need VC++ 2015 at this time. Btw, we haven't tested it with Java 10 yet. Will do that soon. Thanks. On Tuesday, July 17, 2018 at 12:50:20 PM UTC-5, Dattatraya Tembare wrote: > > Forgot to mention, I have installed Visual C++ Redistributable for VS2013

Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

​​ A MNIST trained model does character recognition, not detection. You first need to isolate characters to use it. The advantage is that it is already trained and I think it may work better than fine tuning tesseract because the handwritten digits are quite different from standard fonts. The di

[tesseract-ocr] Easiest way to make a train data to recognize Handwritten Mathmatical Expression.

If some trained data about this application is already developed instead of equ.traineddata, then please deliver that trained data to me through email. That will be a great honor thank you! -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To un

[tesseract-ocr] Re: java.lang.UnsatisfiedLinkError in tess4j

I've found the unit tests completed successfully with JDK 10 as well. So make sure you install the appropriate VC++ runtime. On Wednesday, July 18, 2018 at 6:48:35 AM UTC-5, Quan Nguyen wrote: > > That was old posts for older versions. You need VC++ 2015 at this time. > > Btw, we haven't tested i

Re: [tesseract-ocr] Retrain Tesseract 4.0.0 beta to recognise handwritten digits

Thanks Lorenzo, I will try OPENCV + SIFT + MNIST, will update you soon. On Wednesday, July 18, 2018 at 5:26:05 PM UTC+5:30, Lorenzo Blz wrote: > > ​​ > > A MNIST trained model does character recognition, not detection. You first > need to isolate characters to use it. The advantage is that it

Re: [tesseract-ocr] Easiest way to make a train data to recognize Handwritten Mathmatical Expression.

As per suggestions on group , I am planning to use MNIST model for handwritten . I do not have trained data, will post if work on it. On Wed, Jul 18, 2018 at 7:09 PM, Hamza Rajput wrote: > If some trained data about this application is already developed instead > of equ.traineddata, then please

[tesseract-ocr] Questions about training korean language in tesseract 4.0

Hello, I have two questions about training tesseract 4.0 1. In case of English, I can find box file and how to training such as T 112 4663 140 4696 0 e 140 4662 160 4686 0 s 163 4662 179 4686 0 s 182 4661 198 4686 0 e 200 4661 220 4685 0 r 221 4662 238 4685 0 a 239 4661 260 4685 0 c 261 4661 281

Re: [tesseract-ocr] Questions about training korean language in tesseract 4.0

2) For checking the fonts used in generating the traineddata for your language, you can see training/language-specific.sh and langdata/font_properties under your respective language code. If I'm not wrong, the language code for korean is "kor". Check out langdata/kor directory. On Thu, Jul 19, 2