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I’m trying to make the recognition of these images, I’ve tried several types and I can’t identify with the tesserat because of the lines and scratches
I get the site information below and can’t translate using cv2 and Tesseract I used the code below for testing, but no success
if I need more examples, I pick up on this site https://afi.santanderfinanciamentos.com.br/scripts/afi_santanderLojista.dll?OPERA=AFI_Home
Captchas used
--Code that I used--
img = cv2.imread('Imagens/solvCaptch.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
suave = cv2.GaussianBlur(img, (3, 3), 0)
(T, bin) = cv2.threshold(suave, 160, 255, cv2.THRESH_BINARY)
resultado = np.vstack([np.hstack([bin])])
str = ocr.image_to_string(resultado, lang='por')
print(str)
Please read How they work Captchas, Plain text boxes can be "broken" but requires artificial intelligence or other techniques. Becoming a little more complex than using only an OCR and a morphological operation on the image.
– danieltakeshi
You could help me with what I use ?
– Junior