PATENT CLAIM ANALYSIS

Application Number: 15913311
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "187000"]

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.

Claim (Index 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:\n 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.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 3.08163
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15273610', '13735843', '12756970', '10756930', '14488090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3167581159609624
- 35 USC 102 Novelty (BERT): 0.5587398135933611
- Combined Prediction Score: 0.3409562857242023
- Mean Citation Score: 229.76237000000003
- Max Citation Score: 449.27383
- Similarity Product: 348.08472504391966

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test