BUeno creo que serviria mucho nos compartieras la imagen que presenta los
problemas, y la version de tesseract que haz usado.de esa forma creo que
podemos repetir el error y quizas podemos ayudarte mas. Yo creo que puede
deberse a la segmentacion, pues mi idea es que Tesseract, usa diccionario y
ancho de los caracteres para calcular estadisticamente la palabra mas
exacta en cuanto a los anchos de las letras.

Como los numeros no tienen tales diccionarios, tengo mi teoria que
tesseract falla mas cuando trata de leer simbolos y numeros que no estan en
ningun tesauro ni diccionario.

El vie, 2 dic 2022 a las 9:06, Tim Nettleton (<t...@truespeedphoto.com>)
escribió:

> I found a site that uses tesseract and it does VERY well with nature and
> numbers.
>
> When I use tesseract I do NOT get the same results that they do.
>
> I’ve attached an example image that clearly I need to get 1433 for this
> team member.
> When I use your OCR(https://www.imagetotext.info/) it says “*AMERICAN
> FAMILY INSURANC 1433” *which is great!
>
> When I run tesseract, I get trash on the same image:
>
> c:\>tesseract.exe 12749691.jpg stdout -l eng --psm 6 --oem 3
> we As eee ┬╗
> Ate ae
> é FAS
> ; Z cae f .
> if\ iy
> i * ΓÇÖ .
> | TPE
> xX * dp
>
> What are we doing wrong?
> Do I need to run a program before tesseract to isolate areas?
> What are we missing?
>
> Any help would be great!
>
> Thanks,
>
> Tim Net
>
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