Hi guys, This seems like a very simple thing, but clearly I'm wrong. Take a look at this image of a the text "7.7":
[image: 7point7_0.png] In this font tesseract completely fails to categorize the sevens. I tried whitelists, patterns, disabling the different dawgs, different segmentation modes, and scaling up and down. I've attached the different test images I've been using. If I could figure out how to retrain the model I would try that as well, but there's so much conflictory information in the internet and I have spent days trying to figure it out. Good luck! Here's the version data for the build I'm running: tesseract v5.0.0-rc1.20211030 leptonica-1.78.0 libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 Found AVX2 Found AVX Found FMA Found SSE4.1 Found libarchive 3.5.0 zlib/1.2.11 liblzma/5.2.3 bz2lib/1.0.6 liblz4/1.7.5 libzstd/1.4.5 Found libcurl/7.77.0-DEV Schannel zlib/1.2.11 zstd/1.4.5 libidn2/2.0.4 nghttp2/1.31.0 -- 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/80ba1a5d-4596-4997-9228-8d4983dbfe5fn%40googlegroups.com.
