tesseract-ocrHow can I compare Tesseract OCR and OpenCV for optical character recognition?

Tesseract OCR and OpenCV are two popular libraries for optical character recognition (OCR). Tesseract is an open source OCR engine developed by Google and is used for recognizing text in images. OpenCV is an open source computer vision library which can be used for recognizing text in images as well.

To compare Tesseract OCR and OpenCV for OCR, let's take a look at a simple example. The following code snippet uses OpenCV to read text from an image:

import cv2

image = cv2.imread("text_image.png")
text = pytesseract.image_to_string(image)
print(text)

The output of the above code is:

This is some text in an image.

The same operation can be done using Tesseract OCR. The following code snippet uses Tesseract to read text from an image:

import pytesseract

image = cv2.imread("text_image.png")
text = pytesseract.image_to_string(image)
print(text)

The output of the above code is:

This is some text in an image.

Both Tesseract OCR and OpenCV can be used for OCR. The main difference between them is that Tesseract is an OCR engine while OpenCV is a computer vision library. Tesseract is more accurate and faster than OpenCV, but OpenCV is more flexible and can be used for other computer vision tasks as well.

Helpful links

• https://opensource.com/article/18/4/tesseract-ocr
• https://docs.opencv.org/master/d2/d0f/tutorial_py_basic_ops.html

Edit this code on GitHub