How to get clean output from easyocr

Question:

This is from a opencv+easyocr number plate recognition script opencv crops the image to number plate and gives,clean great output to the easyocr. but what are these bunch of numbers its reading

result = reader.readtext(opencv(mypath))

Result: [([[0, 0], [163, 0], [163, 31], [0, 31]], ‘SPHJ > 3764’, 0.5565279612963627)]

I know I can get a clean output by this but the thing is it differs from a picture to picture.
is there any way only to get the number plate

result = result[0][-2]

Result: SPHJ > 3764

Asked By: Vishwa Shehan

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Source

Answers:

As stated in the docs:

The output will be in a list format, each item represents a bounding
box, the text detected and confident level, respectively.

It’s the coordinates of the box where the text is located. And the last item is the confidence level.

  • [[0, 0], [163, 0], [163, 31], [0, 31]] -> the coordinates of the 4
    corners
  • 'SPHJ > 3764' -> the text
  • 0.5565279612963627 -> confidence level

Just use result[0][1] to get the text. Note, result may have multiple text boxes detect, so you need to access by index or iterate over it.

for item in result:
    print(item[1])
Answered By: buran

I think the question is to get "pure" texts without position and confidence, then simply add ‘detail=0’ to readtext()

result = reader.readtext(opencv(mypath), detail=0)
# output: result = ['SPHJ > 3764'] or multiple items if the image contains more texts
Answered By: nphaibk