Digitized handwriting sample ingestion systems and methods
Abstract
Certain aspects of the present methods and systems may focus on computer implemented methods of obtaining digitized hand-writing data corresponding to a sample of a needed code point of a set of code points. Such methods may include: obtaining a sample of digitized handwritten text, the sample of digitized handwritten text including glyph data corresponding to a first glyph, the first glyph corresponding to the needed code point of the set of code points; associating the first glyph with the needed code point; identifying stroke data in the glyph data, the stroke data corresponding to a stroke component of the first glyph, determining a plurality of dimensional values of the stroke component in the stroke data; and associating the plurality of dimensional values with a new code point sample of the needed code point in a code point set data structure.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A computer implemented method of obtaining digitized hand-writing data corresponding to a sample of a needed code point of a set of code points, the method comprising:
a. obtaining a sample of digitized handwritten text, said sample of digitized handwritten text including glyph data corresponding to a first glyph, said first glyph corresponding to the needed code point of the set of code points; b. associating said first glyph with the needed code point; c. identifying stroke data in said glyph data, said stroke data corresponding to a stroke component of said first glyph; d. determining a plurality of dimensional values of said stroke component in said stroke data; and e. associating said plurality of dimensional values with a new code point sample of the needed code point in a code point set data structure.
2 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of time values.
3 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of horizontal displacement values.
4 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of vertical displacement values.
5 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of rotational displacement values.
6 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of angular displacement values.
7 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of pressure values.
8 . The computer implemented method of claim 1 , wherein said plurality of dimensional values includes a plurality of time values, a plurality of horizontal displacement values, a plurality of vertical displacement values, a plurality of rotational displacement values, a plurality of angular displacement values, and a plurality of pressure values.
9 . The computer implemented method of claim 1 , wherein obtaining a sample of digitized handwritten text comprises obtaining data from a digitizing surface device.
10 . The computer implemented method of claim 1 , wherein obtaining a sample of digitized handwritten text comprises obtaining data from a digitizing marking device.
11 . A computer implemented method of supplementing an incomplete handwriting code point data structure corresponding to a set of code points, the incomplete handwriting data structure including dimensional values for a plurality of code point samples, each code point sample being associated with a code point, the method comprising:
a. identifying a plurality of code points from the set of code points, said plurality of code points corresponding to code points in need of dimensional values for at least one code point sample; b. selecting a preferred handwriting sample phrase from a plurality of predefined handwriting sample phrases, said preferred handwriting sample phrase including at least a first code point of said plurality of code points; c. obtaining a sample of digitized handwritten text corresponding to said preferred handwriting sample phrase, said sample of digitized handwritten text including glyph data corresponding to a first glyph, said first glyph corresponding to said first code point; d. associating said first glyph with said first code point; e. identifying stroke data in said glyph data, said stroke data corresponding to a stroke component of said first glyph; f. determining a plurality of dimensional values of said stroke component in said stroke data; and g. associating said plurality of dimensional values with a new code point sample of said needed code point in the code point set data structure.
12 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of time values.
13 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of horizontal displacement values.
14 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of vertical displacement values.
15 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of rotational displacement values.
16 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of angular displacement values.
17 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of pressure values.
18 . The computer implemented method of claim 11 , wherein said plurality of dimensional values includes a plurality of time values, a plurality of horizontal displacement values, a plurality of vertical displacement values, a plurality of rotational displacement values, a plurality of angular displacement values, and a plurality of pressure values.
19 . The computer implemented method of claim 11 , wherein obtaining a sample of digitized handwritten text comprises obtaining data from a digitizing surface device.
20 . The computer implemented method of claim 11 , wherein obtaining a sample of digitized handwritten text comprises obtaining data from a digitizing marking device.Cited by (0)
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