AI-900 · Question #197
You need to convert handwritten notes into digital text. Which type of computer vision should you use?
The correct answer is B. optical character recognition (OCR). To convert handwritten notes into digital text, Optical Character Recognition (OCR) is the appropriate computer vision technique.
Question
Options
- Afacial detection
- Boptical character recognition (OCR)
- Cimage classification
- Dobject detection
How the community answered
(24 responses)- A4% (1)
- B88% (21)
- C8% (2)
Why each option
To convert handwritten notes into digital text, Optical Character Recognition (OCR) is the appropriate computer vision technique.
Facial detection is used to identify the presence and location of human faces in an image, not to extract text.
Optical Character Recognition (OCR) is specifically designed to extract text from images, including handwritten or printed documents, and convert it into machine-readable digital text. This directly addresses the need to digitize handwritten notes.
Image classification assigns a category or label to an entire image, rather than identifying and extracting text content.
Object detection identifies and locates specific objects within an image using bounding boxes, but it does not extract text from those objects or the image itself.
Concept tested: Optical Character Recognition (OCR)
Source: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-ocr
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