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Zdenko

On Sat, 3 Dec 2022, 08:34 Rolando José Torres Sánchez, <
rolandojtor...@gmail.com> wrote:

> 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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