Udemy – Optical Character Recognition (OCR) for Python 2022-4 – Download

Explanation

Visual Character Recognition (OCR) in Python, within the Computer Vision area is the Visual Character Recognition (OCR) sub-area, which aims to convert images to text. OCR can be described as converting images that contain text, handwritten or printed characters into machine-readable characters. It is possible to convert scanned or scanned documents into editable text in any tool, such as Microsoft Word. A common application is automatic form reading, in which you can send a photo of your credit card or driver’s license, and the system can read all your information without having to write it by hand.

A self-driving car can use OCR to read traffic signs and a parking lot can guarantee entry by reading license plates. To get to this area, in this course you will learn in practice how to use OCR libraries to recognize text in images and videos, all the code is implemented step by step using the Python programming language! We are using Google Colab, so you don’t need to worry about installing libraries on your machine, as everything will be developed online using Google GPUs! You will also learn how to build your OCR from scratch using Deep Learning and Neural Networks

What will you learn?

Use Tesseract, EAST and EasyOCR tools to recognize text in images and videos
Understand the difference between OCR in controlled and natural environments
Apply image manipulation techniques to improve image quality, such as: scaling, rotation, scaling, frame operations and noise reduction.
Use the EAST framework and the EasyOCR library to get better performance with natural scenes
Train OCR from scratch using Deep Learning and Convolutional Neural Networks
Using natural language processing techniques for text generated by OCR (word cloud and entity recognition)
plate reading

Who is this course for?

Anyone interested in OCR (Optical Character Recognition)
Undergraduate students studying subjects related to Artificial Intelligence, Digital Image Processing or Computer Vision
Scientists who want to increase their knowledge in computer vision
Professionals interested in developing professional eye behavior recognition solutions
People interested in creating their own OCR custom