[F4LT] A hands-on introduction to Optical Character Recognition

[mindpower]

A hands-on introduction to Optical Character Recognition
Understanding and Implementing OCR Techniques with Real-world Applications
New
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116 students
2hr of on-demand video

Description
This course provides a comprehensive, hands-on introduction to the field of Optical Character Recognition (OCR). Aimed at students and professionals with a foundational knowledge of computer science and basic programming skills, this course offers an in-depth exploration of the principles, techniques, and applications of OCR technology.

The curriculum begins with a brief history and overview of OCR, where learners will gain insight into how the field has evolved over time. Participants will then delve into the core techniques used in OCR, such as image pre-processing, binarization, segmentation, feature extraction, and character recognition. The course also incorporates detailed explanations of various machine learning and deep learning models used in contemporary OCR systems, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).

https://www.udemy.com/course/ocr-handson/

Enjoy!