Recognizing handwritten words
First Claim
1. A computer-implemented method for recognizing handwritten words at an electronic device, said method comprising:
- receiving a plurality of strokes at a common input region of said electronic device, wherein said plurality of strokes in combination defines a word comprising a plurality of symbols, wherein a relative geometry of a first subset of said plurality of strokes defines a first symbol and a relative geometry of a second subset of said plurality of strokes defines a second symbol such that said relative geometry of said first subset of said plurality of strokes is not related to said relative geometry of said second subset of said plurality of strokes, and wherein at least one stroke of said first subset of said plurality of strokes is spatially superimposed over at least one stroke of said second subset of said plurality of strokes; and
determining said word using a processor of said electronic device based on said plurality of strokes without requiring recognition of said plurality of symbols, wherein a word is determined based at least in part on an entry sequence of subsets of said plurality of strokes.
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Accused Products
Abstract
Recognizing handwritten words at an electronic device. A plurality of strokes is received at a common input region of an electronic device. The plurality of strokes in combination defines a word comprising a plurality of symbols, a relative geometry of a first subset of the plurality of strokes defines a first symbol and a relative geometry of a second subset of the plurality of strokes defines a second symbol such that the relative geometry of the first subset of the plurality of strokes is not related to the relative geometry of the second subset of the plurality of strokes, and at least one stroke of the first subset of the plurality of strokes is spatially superimposed over at least one stroke of the second subset of the plurality of strokes. The word is determined using a processor of the electronic device based on the plurality of strokes without requiring recognition of the plurality of symbols, wherein a word is determined based at least in part on an entry sequence of subsets of the plurality of strokes.
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Citations
23 Claims
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1. A computer-implemented method for recognizing handwritten words at an electronic device, said method comprising:
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receiving a plurality of strokes at a common input region of said electronic device, wherein said plurality of strokes in combination defines a word comprising a plurality of symbols, wherein a relative geometry of a first subset of said plurality of strokes defines a first symbol and a relative geometry of a second subset of said plurality of strokes defines a second symbol such that said relative geometry of said first subset of said plurality of strokes is not related to said relative geometry of said second subset of said plurality of strokes, and wherein at least one stroke of said first subset of said plurality of strokes is spatially superimposed over at least one stroke of said second subset of said plurality of strokes; and determining said word using a processor of said electronic device based on said plurality of strokes without requiring recognition of said plurality of symbols, wherein a word is determined based at least in part on an entry sequence of subsets of said plurality of strokes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory computer-readable medium having instructions encoded thereon for enabling a processor to perform a method for recognizing handwritten symbols, said method comprising:
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receiving a plurality of strokes at a common input region of an electronic device, wherein said plurality of strokes in combination defines a word comprising a plurality of symbols, wherein a relative geometry of a first subset of said plurality of strokes defines a first symbol and a relative geometry of a second subset of said plurality of strokes defines a second symbol such that said relative geometry of said first subset of said plurality of strokes is not related to said relative geometry of said second subset of said plurality of strokes, and wherein at least one stroke of said first subset of said plurality of strokes is spatially superimposed over at least one stroke of said second subset of said plurality of strokes; and determining said word based on said plurality of strokes without requiring recognition of said plurality of symbols, wherein a word is determined based at least in part on an entry sequence of subsets of said plurality of strokes. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. An electronic device comprising:
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a processor; a memory communicatively coupled to said processor; and a common input region communicatively coupled to said processor and for receiving a plurality of strokes, wherein said plurality of strokes in combination define a symbol comprising a plurality of subset characters, wherein a relative geometry of a first subset of said plurality of strokes defines a first symbol and a relative geometry of a second subset of said plurality of strokes defines a second symbol such that said relative geometry of said first subset of said plurality of strokes is not related to said relative geometry of said second subset of said plurality of strokes, and wherein at least one stroke of said first subset of said plurality of strokes is spatially superimposed over at least one stroke of said second subset of said plurality of strokes; wherein said processor is configured to determine said word based on said plurality of strokes without requiring recognition of said plurality of symbols, is configured to input said plurality of strokes into a statistical classifier trained to identify said word, and configured to index an output of said statistical classifier to a dictionary determining said word, wherein a word is determined based at least in part on an entry sequence of subsets of said plurality of strokes. - View Dependent Claims (19, 20, 21, 22, 23)
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Specification