Partial overlap and delayed stroke input recognition
US-9224038-B2 · Dec 29, 2015 · US
Shape recognition using partial shapes
US9218525B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9218525-B2 |
| Application number | US-201314133010-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 18, 2013 |
| Priority date | Jun 26, 2008 |
| Publication date | Dec 22, 2015 |
| Grant date | Dec 22, 2015 |
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Abstract
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Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram analysis to determine complete shapes from partial shape entries and autocomplete suggestions provided to users for conversion of the shape into a known object.
First claim
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What is claimed is: 1. A method for shape recognition, comprising: receiving a first ink entry comprising at least one stroke that is a partial shape, wherein the partial shape forms an incomplete portion of a complete shape; displaying the first ink entry on the display; displaying a suggested completion for the first ink entry, wherein the suggested completion identifies at least one line needed to form the complete shape; and after displaying the suggested completion for…
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- G06K9/00402Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
- G06V30/333Primary
Physics · mapped topic
- G06V30/32Primary
Physics · mapped topic
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- What does patent US9218525B2 cover?
- Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram an…
- Who is the assignee on this patent?
- Microsoft Technology Licensing Llc
- What technology area does this patent fall under?
- Primary CPC classification G06K9/00402. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Dec 22 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).