Here is the problem: when we try to examine an instance of Microsoft. That said, before we read those TopConfidence or Confidence properties, we have to check up if their implementations are really supported for a given instance of Microsoft.
Select uses the recognizer argument. This is how it can be found:. Then we can use the properties to determine the level of confidence carefully. If the property implementation corresponding to RecognitionProperty. ConfidenceLevel is supported, we can call TopConfidence or Confidence. There is one little problem to be solved. In Microsoft. Ink , there is only one method of recognition with alternates, and this method is asynchronous: Microsoft. This is a void method working through the event Microsoft.
But my calling code is designed for synchronous behavior. First of all, the instance of System. RecognizerContext is synchronously disposed of in each recognition event. If BackgroundRecognizeWithAlternates is called withing the using statement block, the event handler of the RecognitionWithAlternates event will never be invoked. So, in my demo application, I maintain synchronous recognition, and I mean it. I hate the idea implemented in the 10 Windows 10 On-Screen Keyboard, when recognition is performed while I write with a stylus, converting my strokes with text objects at some unpredictable moments, no matter if I consider my input complete or not.
I really want recognition performed on my command. This is not a problem to implement asynchronous behavior, but I want to make it synchronous. This problem is simply solved using the closure functionality and System. ManualResetEvent :. However, there is no a need to use this simple synchronization.
Even if we want the recognition to be triggered by a user command, we can keep it asynchronous, because the strokes are fed to the RecognizerContext synchronously. The asynchronous processing of stroke will recognize all available strokes and enter a wait state. I implemented the synchronization-based mechanism be the following reason, 1 it is fully sufficient, 2 it is more suitable for my didactic purposes, and this is because I wanted to demonstrate three different recognition methods inside a single method static string Recognize , 3 this is probably the simplest approach.
Not a big problem, actually. First of all, we need to start BackgroundRecognizeWithAlternates each time the language pack is selected by the user, immediately after the instance of RecognizerContext is instantiated. Previously instantiated RecognizerContext object, if one was previously instantiated, needs to be disposed of. Before the termination of the application, the instantiated instance of this class should stop recognition and then be disposed of.
BackgroundRecognizeWithAlternates object customData. I would use this argument for passing some UI object, best of all, the implementation of some interface implemented by some window class. This object will be passed as a part of the event arguments object in the System. The implementation of this interface should take the instance of RecognitionResult and use it to populate the UI.
One ugly aspect will be the need to type-cast object customData to required runtime type instance. Quite obviously, expect that the event handler is invoked in a separate thread. That said, the UI should be manipulated only via System.
This will be the last missing piece related to recognition with alternates. This is the simplest way to get a set of alternates:. It will work and will gives us as many variants as we want the limiting number can be specified as maximumNumberOfAlternates. But this is totally impractical. Moreover, it is redundant and insufficient at the same time.
Most of these variants will make no sense, and still, the expected variant could be missing. The call to result. GetAlternatesFromSelection without parameters will return only 10 combined alternates, so in our example, each lexeme cannot show more than two alternates. The real intent of this rather weird API is different.
It can represent separate alternates per lexeme, as it is shown above. The thing is, the partitioning of the recognized text is the same for all alternates. It is assumed that we have to parse result. TopString into lexemes by the blank space character and, for each lexeme, pass its location in this string to result. GetAlternatesFromSelection separately for each lexeme:. It creates an instance of Microsoft.
Ink and populates it with the strokes passed as the first argument System. The second argument is of the type Microsoft. If it is null , the simplest recognition is performed as ink. ToString , for default language pack. If not in my demo application this is always the case , the recognition is performed with for a selected language pack using the method Microsoft. Recognize , where the instance of Microsoft.
RecognizerContext is obtained from the Recognizer instance selected by the user. Finally, if the third argument Main. IRecognitionResultSelector selector is not null, the recognition with alternates is performed. The method Main. RecognizeWithAlternates accepts the instances of Microsoft. RecognizerContext and Main.
IRecognitionResultSelector selector to call the method Microsoft. BackgroundRecognizeWithAlternates to obtain recognition result passed through an event argument of the type Microsoft. Obtained instance of Microsoft. RecognitionResult is passed to the implementation of the interface Main. IRecognitionResultSelector which parses recognized TopString of the recognition result to obtain the sets of alternates for each lexem of this string. After the user confirms selection of alternates, resulting string is returned to the UI.
Analysis presents the alternative way of ink data recognition, including handwriting recognition, several advanced features.
In particular, handwriting can be recognized using Microsoft. Analyze , and the class Microsoft. InkRecognizer plays roughly the same role in Microsoft. InkInkAnalyzer as the class Microsoft. Recognizer in Microsoft. However, the attempt to use this API makes the usage of this assembly somewhat questionable. First of all, the attempt to call Microsoft. The system cannot find the file specified. Apparently, the file is not found.
And yes, re-targeting the entire application to x86 makes the application working. I would call it a mess. When this file is added, handwriting recognition and recognition of geometric shapes work.
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