Then we can proceed with installing the Tesseract OCR (Optical Character Recognition) using the apt-get option. Use the below command on the terminal window to configure Debian Package.
#Install tesseract on windows with a gui per google install#
To do this we have to first configure the Debian Package (dpkg) which will help us to install the Tesseract OCR. To perform Optical Character Recognition on Raspberry Pi, we have to install the Tesseract OCR engine on Pi. Raspberry pi, being a portable and less power consuming device, is used in many real-time image processing applications like Face detection, object tracking, Home security system, Surveillance camera etc. Some of us might have already experienced these features through Google Lens, so today we will build something similar using an Optical Character Recognition (OCR) Tool from Google Tesseract-OCR Engine along with python and OpenCV to identity characters from pictures with a Raspberry Pi. This opens door for many applications like to automatically read the information from a business card, recognize a shop from its name board or recognize sign boards on road and much more. This is called Optical Character Recognition (OCR).
In this tutorial we will learn how details are identified from images by reading the characters present on it.
Be it a simple food delivery Robot like the Starship Robots or an advanced self driving car like Tesla, they are rely on information obtained from their highly sophisticated cameras to take decisions. The ability of machines to use a camera to look at the real world and interpret data from it would have a greater influence on its applications.
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