Tesseract accuracy.

[Kyle Zeneki]

Hello, I have these images and I'm trying to print their output using Tesseract. I spent 2 hours fine-tuning Tesseract for a specific font, and the error rate was 0.163. I used multiple font-detecting websites, and the closest match was "Futura Now." However, Tesseract sometimes fails to read the "E" from "D V E O" but successfully reads the "E" from "EOPEO." It also occasionally misreads "S E G I E" as "Ss Ee G I E." etc. I'm wondering if there's a way to train Tesseract by image rather than by font. Alternatively, is there a better tool than Tesseract, such as EasyOCR?"

[Zdenko Podobny]

As the first step, I would suggest you read https://github.com/tesseract-ocr/tessdoc/blob/main/ImproveQuality.md

Next: LSTM model is training on words/lines of text so it could have a problem with "code". For images like these legacy mode is perfect. E.g.:

tesseract WCAZ.png - --psm 6 --oem 0
W C A Z

tesseract DVEO.png - --psm 6 --oem 0
D V E O

The legacy engine model is available in languages files in tessdata repository (https://github.com/tesseract-ocr/tessdata). Many installations prefer to use fast model (without legacy model)

Zdenko

so 25. 3. 2023 o 8:39 Kyle Zeneki <kylez...@gmail.com> napísal(a):

Hello, I have these images and I'm trying to print their output using Tesseract. I spent 2 hours fine-tuning Tesseract for a specific font, and the error rate was 0.163. I used multiple font-detecting websites, and the closest match was "Futura Now." However, Tesseract sometimes fails to read the "E" from "D V E O" but successfully reads the "E" from "EOPEO." It also occasionally misreads "S E G I E" as "Ss Ee G I E." etc. I'm wondering if there's a way to train Tesseract by image rather than by font. Alternatively, is there a better tool than Tesseract, such as EasyOCR?"

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