Method For Character Recognition
First Claim
1. A method for classifying a line segment of a handwritten line into a reference feature set, wherein said handwritten line comprises one or several curves representing a plurality of symbols, said method comprising:
- receiving sample data representing said handwritten line;
identifying a sample line segment in said received sample data by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP);
determining a sample feature set of said identified sample line segment; and
matching said determined sample feature set to a reference feature set among a plurality of reference feature sets.
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Accused Products
Abstract
The present invention generally describes a method for classifying a line segment of a handwritten line into a reference feature set, wherein said handwritten line comprises one or several curves representing a plurality of symbols. First, sample data representing said handwritten line is received. Next, a sample line segment in said received sample data is identified by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP). Then, a sample feature set of said identified sample line segment is determined. Finally, the determined sample feature set is matched to a reference feature set among a plurality of reference feature sets.
104 Citations
21 Claims
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1. A method for classifying a line segment of a handwritten line into a reference feature set, wherein said handwritten line comprises one or several curves representing a plurality of symbols, said method comprising:
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receiving sample data representing said handwritten line; identifying a sample line segment in said received sample data by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP); determining a sample feature set of said identified sample line segment; and matching said determined sample feature set to a reference feature set among a plurality of reference feature sets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A module for classifying a line segment of a handwritten line into one reference line segment of a reference line segment set, wherein said handwritten line comprises one or several curves representing a plurality of symbols, said module comprising:
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a receiver configured to receive data representing said handwritten line; an identifier configured to identify a sample line segment in said received data by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP); a determinator configured to determine a sample feature set for said identified sample line segment; a matcher configured to match said determined sample feature set to a reference feature set among a plurality of reference feature sets; and a transmitter configured to output said matching reference feature set. - View Dependent Claims (13, 14, 15, 16, 17)
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18. An apparatus comprising:
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a pen movement capturing device configured to receive data representing a handwritten line; a module according to 12 configured to receive said data from said touch sensitive area and to output reference feature sets; a symbol matcher configured to match said reference feature sets into a symbol set corresponding to a symbol; and a display configured to present said symbol. - View Dependent Claims (19, 20)
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21. A computer readable memory device having stored thereon instructions that are executable by a computer to classify a line segment of a handwritten line into a reference feature set, wherein the handwritten line comprises one or several curves representing a plurality of symbols, the instructions causing the computer to (a) receive sample data representing the handwritten line, (b) identify a sample line segment in the received sample data by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP), (c) determine a sample feature set of the identified sample line segment, and (d) match the determined sample feature set to a reference feature set among a plurality of reference feature sets.
Specification