PATENT CLAIM ANALYSIS

Application Number: 15765253
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["726", "018000"]

Abstract:
Provided are a method and device for authenticating an identity based on fusion of multiple biological characteristics. The method includes: collecting at least two types of biological characteristic identity information of a to-be-identified user; performing characteristic extraction on each type of the collected biological characteristic identify information, to obtain characteristic information corresponding to the type; establishing characteristic matrixes based on the characteristic information; performing normalization processing on each of the characteristic matrixes; performing dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix; matching the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and obtaining an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score.

Claim (Index 5):
The method according to  claim 1 , wherein the to-be-identified user is allowed to handle business on a currently-logged account in a case that the identity identification result indicates that the to-be-identified user passes identity identification; and the method returns to the step of collecting at least two types of biological characteristic identity information of the to-be-identified user and an alarm is raised to the logged account, in a case that the identity identification result indicates that the to-be-identified user fails to pass the identity identification.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 90.0
- Lexical Diversity: 2.15873
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11058812', '12953740', '13519728', '11708558', '12275781']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2786496991207947
- 35 USC 102 Novelty (BERT): 0.5072517588929809
- Combined Prediction Score: 0.3015099050980133
- Mean Citation Score: 133.72646799999998
- Max Citation Score: 143.49168
- Similarity Product: 72.58890370502472

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

Dataset: test