Recognizers

The recognizers aim at performing batch recognition on transient ink.

Use cases

They are intended to address use cases like input-method writing solutions based on iink SDK, where your application performs the strokes capture and rendering. They simplify iink SDK integration when the ink is simply an input medium for digital content.

• The Gesture recognizer is dedicated to the recognition of gestures without any text context. It is agnostic to the current language settings.
• The Text recognizer enables the recognition of text.
• The Math recognizer enables the recognition of math.
• The Shape recognizer enables the recognition of shapes. It is dedicated to the recognition of shapes only: no matter which ink content is sent to the Shape recognizer, it returns the shape(s) that it recognizes, with alternative recognized shape(s), if any.
• The Raw Content recognizer is designed to analyze and recognize digital ink into text, math, shape, decoration or other elements whose semantics are known to iink SDK. The input digital ink does not require any explicit segmentation. Depending on its classification configuration, the recognizer analyzes the content to extract the document layout as blocks and classify ink strokes according to their types. Once ink is classified, recognition is performed according to recognition configuration.

Available result formats

• Text Recognizer: JIIX, raw text.
• Gesture Recognizer: JIIX.
• Shape Recognizer: JIIX.
• Math Recognizer: LaTeX.
• Raw Content Recognizer: JIIX.

Integration tips

Visit this page to learn how to use the recognizers.