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dotnet/InkRecognition/wpf-app/README.md

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![Build passing](https://img.shields.io/badge/build-passing-brightgreen.svg) ![License](https://img.shields.io/badge/license-MIT-green.svg)
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Ink Recognizer Cognitive Service provides recognition of digital ink. It takes the digital ink stroke data as input and provides a document tree with individual recognition units as output. This project has sample code to demonstrate a few ways developers can take advantage of the service. This sample also shows use case for [Xaml Island](https://docs.microsoft.com/en-us/windows/uwp/xaml-platform/xaml-host-controls) on InkCanvas, which import UWP controls into desktop applications.
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Ink Recognizer Cognitive Service provides recognition of digital ink. It takes the digital ink stroke data as input and provides a document tree with individual recognition units as output. This project has sample code to demonstrate a few ways developers can take advantage of the service. This sample also shows a use case for [Xaml Island](https://docs.microsoft.com/en-us/windows/uwp/xaml-platform/xaml-host-controls) on InkCanvas, which import UWP controls into desktop applications.
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## Features
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This sample provides the following features:
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* Collect ink strokes from Xaml Island InkCanvas
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* Create JSON request following InkRecognizer service's schema.
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* Call the InkRecognizer REST API
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* Parse the JSON reponse to build the document tree
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* Collecting ink strokes from Xaml Island InkCanvas
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* Creating JSON request following InkRecognizer service's schema.
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* Calling the InkRecognizer REST API
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* Parsing the JSON reponse to build the document tree
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## Contents
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### Run the sample
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* To debug the sample and then run it, select **Debug > Start Debugging**. To run the sample without debugging, select **Debug > Start Without Debugging**.
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* To debug the sample, select **Debug > Start Debugging**. To run the sample without debugging, select **Debug > Start Without Debugging**.
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* Write down something on the upper region of the app
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* After one second of inactivity, the ink will be recognized and the result will be visible in the lower region of the app
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