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Answer: Use the 'Extract Text from Images' feature and apply a custom model trained on a dataset containing both printed and handwritten text.
Option A is the correct answer. To handle both printed and handwritten text in a scanned document, you would need a custom model trained on a dataset containing both types of text. This would ensure the accuracy of the extracted text. Option B is incorrect because a model trained only on handwritten text would not be able to accurately extract printed text. Option C is incorrect because a pre-built model optimized for printed text extraction may not perform well on handwritten text. Option D is incorrect because a pre-built model optimized for handwritten text recognition may not be able to accurately extract printed text.
Author: LeetQuiz Editorial Team
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You are working on an application that needs to extract text from a scanned document image. The document contains both printed and handwritten text. Which Azure AI Vision feature would you use to handle this scenario, and how would you ensure the accuracy of the extracted text?
A
Use the 'Extract Text from Images' feature and apply a custom model trained on a dataset containing both printed and handwritten text.
B
Use the 'Convert Handwritten Text' feature and apply a custom model trained on a dataset containing only handwritten text.
C
Use the 'Extract Text from Images' feature and apply a pre-built model optimized for printed text extraction.
D
Use the 'Convert Handwritten Text' feature and apply a pre-built model optimized for handwritten text recognition.
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