tesseract-4.0.0a
supports below psm
. If you want to have single character recognition, set psm = 10
. And if your text consists of numbers only, you can set tessedit_char_whitelist=0123456789
.
Page segmentation modes:
0 Orientation and script detection (OSD) only.
1 Automatic page segmentation with OSD.
2 Automatic page segmentation, but no OSD, or OCR.
3 Fully automatic page segmentation, but no OSD. (Default)
4 Assume a single column of text of variable sizes.
5 Assume a single uniform block of vertically aligned text.
6 Assume a single uniform block of text.
7 Treat the image as a single text line.
8 Treat the image as a single word.
9 Treat the image as a single word in a circle.
10 Treat the image as a single character.
11 Sparse text. Find as much text as possible in no particular order.
12 Sparse text with OSD.
13 Raw line. Treat the image as a single text line,
bypassing hacks that are Tesseract-specific.
Here is a sample usage of image_to_string
with multiple parameters.
target = pytesseract.image_to_string(image, lang='eng', boxes=False,
config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')
Hope this helps.
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…