As far as I remember, the traineddata are from https://github.com/arturaugusto/display_ocr/blob/master/letsgodigital/letsgodigital.traineddata Also, check https://github.com/Shreeshrii/tessdata_ssd for Seven Segment Display recognition.
Zdenko pi 28. 6. 2024 o 17:07 'uday kaipa' via tesseract-ocr < tesseract-ocr@googlegroups.com> napísal(a): > Hi Zdenko, > > > Thanks for your recommendation about image format and letsgodigital > trainidata. Yes, you are right. I got the digits from a segment display. > I would try the training process before that i wanted to try other options. > > I suppose you have used the lets.traindata > <https://github.com/adrianlazaro8/Tesseract_sevenSegmentsLetsGoDigital/blob/master/Trained%20data/lets.traineddata> > after > renaming, when i tried the same command with same psm, on the PNG image, I > got .4 instead. > By the way, Did you apply any processing on the image?, the edges look > slightly different. > > tesseract 14.png out -l lets --oem 0 --psm 7 > .4 > > Thanks for your time. > > On Friday, June 28, 2024 at 3:31:15 PM UTC+2 zdenop wrote: > >> First of all, using jpg as a format for image processing and OCR is not >> very smart. >> >> Next: it does not seem like a very standard font... maybe you will need >> to train tesseract for it. >> For me, it looks like a heavy preprocessed 7-segment font... so I tried >> this: >> >> tesseract 14.png - --psm 7 --oem 0 -l letsgodigital >> 14 >> >> Zdenko >> >> >> pi 28. 6. 2024 o 14:09 'uday kaipa' via tesseract-ocr < >> tesser...@googlegroups.com> napísal(a): >> >>> I have resized the image so that text height would be around 30pxs and i >>> have tried with 10px boarder as recommended in some threads here. >>> I converted image to binary, and tried all PSM modes. >>> I am not sure why it is not OCR'ed properly. >>> >>> Any help is appreciated. :) >>> >>> >>> >>> >>> >>> On Thursday, June 27, 2024 at 6:24:36 PM UTC+2 uday kaipa wrote: >>> >>>> Hi, >>>> >>>> I have an image having number 96 in it.(that might contains a number >>>> between 0 and 100.) PFA. >>>> I have used tesseract PSM from 6 to 13 and image size and font and >>>> everything looks good to me. Text is recognized as 36. >>>> When i try to adjust padding or other pre-processing, it would work for >>>> this image and some images are recognized incorrectly. >>>> >>>> Can anyone recommend any other pre-processing that might improve the >>>> recognition. >>>> >>>> *t**esseract --oem 1 --psm 7 -c tessedit_char_whitelist=0123456789.: >>>> C:/Users/xxx/Desktop/test_folder/IMG_2303_2cfac/subboxes/Image_BHU32_1_PREPROCESSED_27-06-2024_17h39m53s.JPG >>>> new hocr* >>>> >>>> >>>> *Many thanks in advance.* >>>> >>>> >>>> *Regards* >>>> *Uday* >>>> >>>> >>>> -- >>> 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 tesseract-oc...@googlegroups.com. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/tesseract-ocr/d59827e4-6973-45af-92c0-e2aebbd7f2e7n%40googlegroups.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/d59827e4-6973-45af-92c0-e2aebbd7f2e7n%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> >> -- > 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 tesseract-ocr+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/09a5c5e1-2cc7-49c2-9833-e2dc5c770203n%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/09a5c5e1-2cc7-49c2-9833-e2dc5c770203n%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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 tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAJbzG8x0HijsPs5pjBzkibB4euDV5viQNjxhj%3DORXuK8G0MaXg%40mail.gmail.com.
