PATENT CLAIM ANALYSIS

Application Number: 16262015
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["340", "005830"]

Abstract:
Systems and methods for high fidelity multi-modal out-of-band biometric authentication with cross-checking are disclosed. According to one embodiment, a method for integrated biometric authentication may include ( 1 ) receiving, from a user, biometric data; ( 2 ) at least one computer processor performing machine-based biometric matching on the biometric data; ( 3 ) the at least one computer processor determining that human identity confirmation is necessary; ( 4 ) the at least one computer processor processing the biometric data; ( 5 ) the at least one computer processor identifying at least one contact for human identity confirmation; ( 6 ) the at least one computer processor sending at least a portion of the processed biometric data for the user to the at least one contact; ( 7 ) receiving, from the at least one contact, human confirmation information; and ( 8 ) the at least one computer processor authenticating the user based on the machine-based biometric matching and the human confirmation information.

Claim (Index 35):
The method of  claim 27 , wherein the connection is bidirectional, and each direction is associated with a different connectivity score.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 99.0
- Lexical Diversity: 2.68182
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13972556', '15630419', '13940799', '13908618', '14077869']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7327223125223841
- 35 USC 102 Novelty (BERT): 0.5816697948844392
- Combined Prediction Score: 0.7176170607585897
- Mean Citation Score: 290.9246540000001
- Max Citation Score: 461.41562000000016
- Similarity Product: 261.0003166692174

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

Dataset: test