PATENT CLAIM ANALYSIS

Application Number: 16281326
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-07
Patent Classification: ["382", "159000"]

Abstract:
A method for training a classifier for authenticating signatures hand-drawn on an electronic input element includes receiving a set of multiple signature properties of each of multiple signatures documented over a time range of a common user, each set of multiple signature properties is associated with a time period during which a respective signature was documented at the time range, wherein the plurality of signatures were hand-drawn and digitally recorded using an electronic input element; generating a signature authenticating classifier for authenticating additional signatures of the common user based on the set of multiple signature properties of each of the plurality of signatures, wherein a weight assigned to each the set of multiple signature properties or a portion thereof decreases overtime, the weight is used for the generation of the classifier; and providing the signature authenticating classifier for authenticating the additional signatures

Claim (Index 10):
The method of  claim 7 , further comprising documenting the received signature and authentication result, and updating the signature authenticating classifier based on the documented received signature and authentication result, so that the classifier adapts to changes of the common user signatures over time.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.42623
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15306297', '14022080', '15649144', '15298937', '15062255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2698629834246347
- 35 USC 102 Novelty (BERT): 0.5809525984834466
- Combined Prediction Score: 0.3009719449305159
- Mean Citation Score: 227.892862
- Max Citation Score: 465.0259400000001
- Similarity Product: 426.321905510124

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

Dataset: test