How Can I Configure Pytesseract to Distinguish Between \'0\' and \'O\' in Single-Digit Recognition?

Pytesseract OCR Multi-Configuration Configuration

When utilizing Pytesseract for Optical Character Recognition (OCR), it is crucial to optimize its settings to enhance accuracy for specific scenarios. This article addresses a particular issue where the OCR has difficulty distinguishing between single-digit numbers and the letter 'O'.

Problem:

Pytesseract cannot differentiate between the number zero and the letter 'O' when configured with '-psm 7' for single-digit recognition.

Solution:

To address this challenge, Tesseract 4.0.0a provides two key configuration options:

• psm (Page Segmentation Mode): Specifies how Tesseract should divide an image into regions of text. For single character recognition, psm should be set to 10.
• tessedit_char_whitelist: Restricts Tesseract to recognize only specified characters. In this case, the whitelist should be limited to numbers only, e.g., "0123456789".

Sample Code:

The following code demonstrates how to use these configuration options together:

import pytesseract
from PIL import Image

# Load the image
im = Image.open('digits_image.png')

# Multiple configuration options
target = pytesseract.image_to_string(im, config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')

With this configuration, Pytesseract can accurately recognize single-digit numbers while excluding the possibility of mistaking them for 'O'.

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