Mastering OCR using Deep Learning and OpenCV-Python

A complete guide to optical character recognition pipeline using Deep Learning, python and OpenCV
4.01 (233 reviews)
Udemy
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English
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Data Science
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Mastering OCR using Deep Learning and OpenCV-Python
1 107
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2.5 hours
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Jun 2021
last update
$59.99
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Why take this course?


Mastering OCR using Deep Learning and OpenCV-Python: A Complete Guide to Optical Character Recognition Pipeline

👋 Welcome to the Course!

Embark on a journey to master the art of Optical Character Recognition (OCR) with our comprehensive course, 'Mastering OCR using Deep Learning and OpenCV-Python'. This is the first installment in my OCR series designed to take you from novice to expert in the field of text recognition.


Course Overview:

  • Understanding OCR: We'll kick off by exploring what Optical Character Recognition entails and delve into the importance of OCR in various industries.

  • OCR Pipeline Explained: A step-by-step guide to the typical pipeline used across OCR systems, demystifying the process for you.


Curriculum Breakdown:

  1. Introduction to OCR:

    • What is Optical Character Recognition?
    • The role of OCR in today's world 🌐
  2. OCR Pipeline Components:

    • Image Preprocessing: Techniques that pave the way for accurate character detection.
    • Text Detection Algorithms: Mastering EAST and CTPN with hands-on implementation using OpenCV-Python.
    • Character Recognition Models: Deep dive into CTC and CRNN, understanding how they work.
    • Post-processing: The significance of restructuring in OCR output for enhanced accuracy.
  3. Hands-On Learning:

    • Implementing the EAST text detection algorithm from scratch with OpenCV-Python.
    • Exploring an end-to-end OCR engine: Pytesseract 🔍
  4. Capstone Project:

    • Running the complete OCR pipeline to extract data from identification documents using pytesseract.

What You Will Learn:

  • The foundational concepts of OCR and how it transforms digital information.
  • How to preprocess images for optimal OCR results.
  • Advanced deep learning techniques for text detection and recognition.
  • The importance of post-processing in the OCR workflow.
  • Real-world application: Extracting data from identification documents with pytesseract.

Why Enroll?

  • Industry-Relevant Skills: Gain knowledge that is not just theoretical but highly applicable to real-world problems and projects.
  • Hands-On Experience: Apply what you learn directly with practical exercises and a final project.
  • Career Advancement: Equip yourself with the expertise required for roles in data science, machine learning, and computer vision.

Who Is This Course For?

This course is ideal for:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Anyone interested in learning about OCR technologies and applications using Deep Learning and OpenCV-Python.

Get Ready to Dive In!

Join us on this exciting journey of learning, where we transform complex concepts into actionable skills. Whether you're a beginner or an experienced professional looking to expand your expertise, this course is designed to cater to all levels.

So, gear up, enroll now, and let's embark together on this adventure in mastering OCR using Deep Learning and OpenCV-Python! 🚀


Stay tuned for more updates and get excited for our upcoming lessons. Can't wait to see you in class. Remember, happy learning leads to great discoveries and a fulfilling journey of personal growth. 📚💡


Course Gallery

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3896504
udemy ID
07/03/2021
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15/03/2021
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