This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization.
Introduction to Optical Character Recognition
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Skills You'll Learn
Python Programming, Code Debugging, Code Testing
Reviews
4 (1,926 ratings)
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- 1 star10.69%
RK
May 4, 2019
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UA
Jul 30, 2019
It's very interesting the assignment and the final project. But maybe you should think of changing the Jupiter notebook. It doesn't work correctly very often.
From the lesson
Tesseract and Optical Character Recognition
Taught By
Christopher Brooks
Associate Professor