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 11):
The method of  claim 7 , wherein applying the classifier comprises:\n extracting features from the received signature for authentication; weighing each of the extracted features using calculated feature specific coefficients from the received signature authenticating classifier; counting the total number of features that pass a variance check (referred to as a pass count) for each feature, the variance check for each feature denoted by the relationship:\n (Feature\u2212Mean)<=(Stddv*Volatility) \n wherein: Feature denotes the values of the respective weighted extracted feature; Mean denotes the mean value of the respective feature for the signatures; Stddv denotes the standard deviation value of the respective feature for the signatures; Volatility denotes the volatility factor of the respective feature for the signatures; the Mean, Stddv, and Volatility obtained from the received signature authenticating classifier; and authenticating the received signature based on the relationship:\n (Pass Count)>=Threshold; \n wherein Pass count denotes the total number of extracted features that passed the variance check; wherein Threshold denotes the number of extracted features that need to pass the variance check in order to authenticate the signature.

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): 0.2926199752434144
- 35 USC 102 Novelty (BERT): 0.5864891182214725
- Combined Prediction Score: 0.3220068895412202
- Mean Citation Score: 227.892862
- Max Citation Score: 465.0259400000001
- Similarity Product: 448.1683915622391

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