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 8):
The method of  claim 7 , further comprising calculating a user volatility factor based on features extracted from the set of plurality of signature properties of each of plurality of signatures of the common user, the volatility factor denoting an accuracy of similarity between time spaced signatures of the common user and the received signature, and authenticating comprises verifying that features extracted from the received signature are within a tolerance level based on the calculated user volatility factor.

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): 0.2681915679255615
- 35 USC 102 Novelty (BERT): 0.5854402143890663
- Combined Prediction Score: 0.299916432571912
- Mean Citation Score: 227.892862
- Max Citation Score: 465.0259400000001
- Similarity Product: 455.9915477646363

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