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Optical Charactor Recognition using PyTesseract on Colab

Here is the link of an article with the descriptions of all the steps i used.

Input:

This project is the implimentation of OCR on the following image, image

Colab Notebook for the Implemnation:

OCRusingTesseract.ipynb is the colab notebook for the OCR using Pytesseract task

Output:

you will get following output at the end of the notebook after executing each step:

1.1 Whatis computer vision?

As humans, we perceive the three-dimensional Structure of the world around us with apparent
case. Think of how vivid the three-dimensional percept is when you look at a vase of flowers
sitting on the table next to you. You can tell the shape and translucency of each petal through
the subtle patterns of light and shading that play across its surface and effortlessly segment
each flower from the background of the scene (Figure 1.1). Looking at a framed group por-
trait, you can easily count (and name) all of the people in the picture and even guess at their
emotions from their facial appearance. Perceptual psychologists have spent decades trying to
understand how the visual system works and, even though they can devise optical illusions!
to tease apart some of its principles (Figure 1.3), a complete solution to this puzzle remains
elusive (Marr 1982; Palmer 1999; Livingstone 2008).

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A Project to do OCR using Pytesseract

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