Udemy – Mastering OCR using Deep Learning and OpenCV-Python 2021-3

Mastering OCR using Deep Learning and OpenCV-Python course. In this course, we will start from the basics. First, we’ll discuss optical character recognition (OCR) and why you should take the time to learn it. Then we will look at the general pipeline used in most existing OCR systems. After that, we will learn each pipeline component in detail. We’ll start by learning some image preprocessing techniques commonly used in OCR systems. Then we will learn some deep learning based text recognition algorithms like EAST and CTPN. We will also implement the EAST algorithm using OpenCV-Python. In the following, we will discuss the principle of CTC, which is widely used in the development of text recognition systems. We will implement the well-known CRNN text recognition algorithm. Finally, we’ll learn about the last component of the OCR pipeline, reconstruction. In this section, we will discuss the importance of reconstruction for any OCR system. We will also explore an open source OCR engine called pytesseract. Finally, we will run the full OCR pipeline to extract data from the ID document using pytesseract.

What you will learn in the Mastering OCR using Deep Learning and OpenCV-Python course

• What is optical character recognition (OCR)?
• A general OCR pipeline used by most industries.
• Various image preprocessing techniques used in the OCR pipeline.
• Various text recognition techniques used in the OCR pipeline such as EAST and CTPN.
• Various text recognition techniques used in the OCR pipeline such as CRNN (CNN+RNN+CTC)
• Implementation of OCR in real examples

This course is suitable for people who

• People who have no experience with OCR and want to learn about it.
• People who have little experience in OCR and want to master it.
• People who want to make a career in OCR.
• People who want to apply OCR in their daily life to automate routine tasks.

Mastering OCR using Deep Learning and OpenCV-Python course specifications

• Publisher:  Udemy
• Lecturer:  Pankaj Kang , Atul Krishna Singh
• Training level: beginner to advanced
• Training duration: 2 hours and 27 minutes
• Number of courses: 23

Headlines of the course on 2021/6

Course prerequisites

Course images

Sample video of the course

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