Hi, I have a small problem with some letters that are recognized as multiple letters.
This is a sample (I can reproduce the problem with this image and eng "_best"): output is: 17AE4L4 The 4 is seen as three different letters. Maybe the shape of the 4 is not so common and this is creating the problem. This is how tesseract sees the image (data is taken from the bounding box returned by the iterator, a red dots means the beginning of a symbol): I'm wondering if there is anything I can do to fix this other than training a custom model on this font (it is part of an mrz, btw). Even a small edit to the image, like cropping, makes the problem appear or disappear. The output for the other sample is : 17AESL Are there any parameters like minimum box size, split threshold, something I can ask the iterator, etc. that might help? Or is everything part of the lstm? I tried a quick fix based on the box sizes and confidence but there are several variations and is not so easy to do it right. I'm using: tesseract 4.0.0-beta.3-56-g5fda leptonica-1.76.0 libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.4.2) : libpng 1.2.54 : libtiff 4.0.6 : zlib 1.2.8 : libwebp 0.4.4 : libopenjp2 2.3.0 Found AVX2 Found AVX Found SSE Thanks, bye Lorenzo -- 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 post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAMgOLLxmc7UksXkzQw1UcQHyp19JW1B78MUc5Sn8csvEQFWWTA%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
