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

Description

Optical Character Recognition (OCR) in Python, OCR training course in Python is published by Udemy Academy. In the field of computer vision, it is under the field of optical character recognition (OCR), which aims to convert images into texts. OCR can be described as converting images containing typed, handwritten or printed text into characters that a machine can understand. It is possible to convert scanned or photographed documents into texts that can be edited in any tool such as Microsoft Word. One of the common uses is automatic form reading where you can send a photo of your credit card or driver’s license and the system can read all your data without having to manually type it. A self-driving car can use OCR to read traffic signs, and a parking lot can ensure access by reading license plates!

To familiarize yourself with this field, in this course you will learn how to use OCR libraries to recognize text in images and videos. All the implemented codes are step by step using Python programming language. We’re going to use Google Colab, so you don’t have to worry about installing libraries on your device because everything will be developed online using Google GPUs. You’ll also learn how to build your own OCR from scratch using deep learning and convolutional neural networks.

What you will learn

Using Tesseract, EAST and EasyOCR tools to recognize text in images and videos
Understand the differences between OCR in controlled and natural environments
Using image preprocessing techniques to improve image quality, such as thresholding, inversion, rescaling, morphological operations, and noise reduction.
Using EAST architecture and EasyOCR library for better performance in natural scenes
Training an OCR from scratch using deep learning and convolutional neural networks
Application of natural language processing techniques in texts extracted by OCR (superword and named identity recognition).
Reading license plates

Who is this course suitable for?

Anyone interested in OCR (Optical Character Recognition).
Students studying subjects related to artificial intelligence, digital image processing or computer vision
Data scientists who want to increase their knowledge in computer vision
Professionals interested in developing professional optical character recognition solutions
People interested in creating their own custom OCR