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See:
Description
Interface Summary | |
FeatureExtractor | A feature extractor performs computation on a set of strokes and outputs the feature values. |
MultiStrokeRecognizer | A recognizer that processes a set of strokes and return the predictions in a RecognitionSet. |
StrokeRecognizer | A recognizer responds to changes in strokes and returns recognition sets (interpretations of the stroke or of some or all of the scene) based on these changes. |
TypedData | Typed data refers to a piece of semantic data that results from a recognition process and has an associated type. |
Class Summary | |
HHRecognizer | This is a general purpose recognizer in which feature extractors and the classifier can be user-specified. |
MSTrainingModel | MSTrainingModel (Multi-Stroke Training Model) is a data structure for storing training examples and their types. |
MSTrainingParser | MSTrainingParser (Multi-Stroke Training Parser) reads in an XML file and parses it into a MSTrainingModel. |
MSTrainingWriter | MSTrainingWriter (Multi-Stroke Training Writer) takes a MSTrainingModel and outputs its content to an outputstream. |
Recognition | An interpretation of a stroke or a set of strokes as a data/confidence pair. |
RecognitionSet | The result of a recognizer's computations: a set of mutually exclusive interpretations of a stroke or a set of strokes, expressed by Recognition objects as typed data with associated values. |
SimpleData | An instance of typed data that represents dynamic, user-defined types. |
TimedStroke | TimedStroke is a collection of points taken in the duration of a mouse pressed event and a mouse released event. |
Type | A unique identifier for the type of a piece of data that results from a recognition. |
ZernikeFE | Compute Zernike moments of the specified order [1]. |
ZernikeMoments | This class provides a set of methods for computing Zernike moments. |
ZernikeMoments.Complex | Data structure for a complex number with real and imaginary parts. |
Interfaces and core classes for doing multi-stroke symbol recognition. A stroke is a sequence of data points captured from pen-down to pen-up. TimedStroke is the data structure for storing information pertaining to a stroke. HHRecognizer is the recognition engine. By default, it uses Zernike moment features and a SVM classifier.
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