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 15):
The method of  claim 12 , wherein authenticating further comprises calculating a user volatility factor based on the dynamic and/or static extracted features, the volatility factor denoting an accuracy of similarity between time spaced signatures of the common user and the received signature, and verifying that dynamic and/or static features extracted from the received signature are within a respective dynamic and/or static 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: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15306297', '14022080', '15649144', '15298937', '15062255']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2931010582804902
- 35 USC 102 Novelty (BERT): 0.5852648586073659
- Combined Prediction Score: 0.3223174383131778
- Mean Citation Score: 227.892862
- Max Citation Score: 465.0259400000001
- Similarity Product: 440.05891145722273

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