Interesting! I'd be worried it could remove important text features, but maybe tune it to not remove lines shorter than x. I definitely need to look at cv2. Until now I've sort of assumed it's best to make Tesseract do as much of this process as possible... Thanks for your input
On Mon, Nov 13, 2023 at 8:05 PM Art Rhyno <[email protected]> wrote: > With such clear diagrams, there might be value in having OpenCV remove the > horizontal and vertical lines, and then identifying and merging the blobs > that are left to get the regions for recognition. I tried this a bit with > one of your examples, it would take more refinement but there might be a > path to getting good bounding boxes at the image level. > > > > art > > > > *From:* [email protected] <[email protected]> *On > Behalf Of *Tom Morris > *Sent:* Monday, November 13, 2023 11:14 AM > *To:* tesseract-ocr <[email protected]> > *Subject:* Re: [tesseract-ocr] Re: Tesseract on technical drawings > > > > > > On Monday, November 13, 2023 at 5:35:20 AM UTC-5 [email protected] wrote: > > > > Yeah it seems page segmentation is the crucial issue. If the bounding > boxes are good, the recognition is usually very good. > > > > I think I've sort of reached the limit on what I can do with base > Tesseract. I think the next step would be custom training / fine-tuning. > > > > Tesseract's page layout analysis / segmentation isn't training based, so I > don't think this is going to help you. If you wanted to recognize the C/L > glyph, you could do fine tuning training for it, but it's not going to help > you with the problem of finding rotated text and accurately determining > bounding boxes for text of interest. > > > > It's been ages since I've done serious image processing, but I'd recommend > looking at something like OpenCV's text detection: > > https://docs.opencv.org/4.8.0/d4/d43/tutorial_dnn_text_spotting.html > > > > Aspirationally, you can get some idea of what's possible by playing with > Google's Cloud Vision API demo > > https://cloud.google.com/vision/docs/drag-and-drop > > > > It lets you just drag & drop an image and then inspect the results both > visually and via the JSON that the API produces. > > > > Good luck! > > > > Tom > > -- > 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 [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/3a6e0271-db4b-4624-bada-51167dd6d744n%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/3a6e0271-db4b-4624-bada-51167dd6d744n%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 [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/YQBPR0101MB990290D0BD05A1D3F3A8BA40DCB3A%40YQBPR0101MB9902.CANPRD01.PROD.OUTLOOK.COM > <https://groups.google.com/d/msgid/tesseract-ocr/YQBPR0101MB990290D0BD05A1D3F3A8BA40DCB3A%40YQBPR0101MB9902.CANPRD01.PROD.OUTLOOK.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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CADVG04qMEY%2BQNvPDVFH%2Bwdc37fWq_p%3DHfor%2BeSLeExMMhMnWWQ%40mail.gmail.com.
