Learn how to digitize newspaper articles with Azure Computer Vision using optical character recognition (OCR). Find out what OCR is and how it can help a historian extract text from images of newspaper articles.
Table of Contents
Question
HOTSPOT (Drag & Drop is not supported)
Select the answer that correctly completes the sentence.
A historian can use __________ to digitize newspaper articles.
A. facial analysis
B. image classification
C. object detection
D. optical character recognition (OCR)
Answer
D. optical character recognition (OCR)
Explanation
The correct answer is D. optical character recognition (OCR). OCR is a process of converting scanned or printed text into a digital format that can be edited, searched, or analyzed by a computer. OCR can be used to digitize newspaper articles by extracting the text from the images and converting it into a format that can be stored in a database or analyzed by natural language processing (NLP) techniques. OCR can also preserve the layout, formatting, and fonts of the original document.
Facial analysis, image classification, and object detection are not suitable for digitizing newspaper articles. Facial analysis is a process of detecting and recognizing human faces and their attributes, such as age, gender, emotion, or identity. Image classification is a process of assigning a label to an image based on its content, such as animal, plant, or vehicle. Object detection is a process of locating and identifying specific objects within an image, such as cars, pedestrians, or traffic signs. These techniques can be used for different purposes, such as security, surveillance, or navigation, but they cannot extract the text from the newspaper articles.
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