Description
Optical Character Recognition (OCR) MasterClass in Python. This course is a comprehensive tutorial for mastering optical character recognition technology using Python. It extracts text data from printed documents, handwriting, or images and converts it into a machine-processable format. Its benefits include reducing costs, speeding up processes, automating document processing, securing data, and improving information accessibility. In this course, you will learn about tools such as OpenCV and Pytesseract for recognizing text from images, and use the Pillow library for image processing. You will also implement practical projects such as license plate recognition and extracting information from images. This course covers the basics of machine learning to improve OCR accuracy to over 90%, and teaches image preprocessing techniques such as grayscale conversion, dithering, erosion, and swelling to improve the quality of OCR results.
What you will learn
- Pillow Library in Python: You will learn about the Pillow library, which is used to work with image data and perform various image manipulation steps in Python.
- OpenCV for Image Preprocessing: Using OpenCV for image preprocessing in Python.
- Pytesseract Tool: You will be introduced to Pytesseract, an OCR tool for Python. This tool reads and recognizes text in images, license plates, etc.
- Machine Learning for OCR: You will learn how to use machine learning for various OCR use cases and build machine learning models that perform OCR with over 90% accuracy.
- Various OCR projects: You build various OCR projects such as license plate recognition, reading text from images, etc.
This course is suitable for people who:
- Python developers who are curious about OCR.
- People with a background in data mining and machine learning who want to add a new OCR skill to their resume.
- Anyone who wants to learn about OCR.
Optical Character Recognition (OCR) MasterClass in Python Course Details
- Publisher: Udemy
- Instructor: Raj Chhabria
- Training level: Beginner to advanced
- Training duration: 2 hours and 2 minutes
- Number of lessons: 22
Course topics
Prerequisites for the Optical Character Recognition (OCR) MasterClass in Python course
- Basic understanding of Python Programming Language.
Course images
Sample course video
Installation Guide
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Download link
File(s) password: www.downloadly.ir
File size
718 MB