Computer Vision › Optical Character Recognition (OCR)

What are common mistakes to avoid with Optical Character Recognition (OCR)

Intermediate

Answer

A common mistake with Optical Character Recognition (OCR) is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.

Real-world example A scanning app uses optical character recognition to turn a photo of a printed receipt into editable text.

Common follow-ups: What is Computer Vision, How is Optical Character Recognition (OCR) evaluated in practice, What tools are commonly used for Optical Character Recognition (OCR)

Computer Vision topics: Image Processing Fundamentals Image Classification Object Detection