PATENT CLAIM ANALYSIS

Application Number: 16075540
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["382", "118000"]

Abstract:
Provided are a method and a device for offline identity authentication. The method includes: acquiring two or more images for identity authentication to constitute a to-be-authenticated multivariate image group; extracting a concatenated PCA convolution feature of each of the images in the to-be-authenticated multivariate image group, to obtain feature vectors; fusing information on the images in the to-be-authenticated multivariate image group based on the feature vectors according to a score fusion strategy with a supervisory signal, to obtain a fusion vector; and inputting the fusion vector to a pre-trained SVM classifier to authenticate and determine whether the images in the to-be-authenticated multivariate image group are consistent with one another, to obtain an identity authentication result.

Claim (Index 6):
The method according to  claim 2 , wherein the fusing information on the images in the to-be-authenticated ternary image group based on the feature vectors according to the score fusion strategy with the supervisory signal to obtain the fusion vector comprises:\n calculating a cosine similarity degree between each pair of feature vectors of the three feature vectors corresponding to the to-be-authenticated ternary image group, as three matching scores; calculating a difference between each of the matching scores and a preset empirical threshold corresponding to the matching score, as difference signals; encoding based on each of preset decision weights and the difference signal corresponding to the preset decision weight, to obtain weight signals, wherein the preset decision weights have a one-to-one correspondence with three pairs of the images in the to-be-authenticated ternary image group; and synthesizing the matching scores, the difference signals and the weight signals, as the fusion vector.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 96.0
- Lexical Diversity: 2.0
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11516090', '13519728', '15591616', '11596429', '11989639']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3431090621827742
- 35 USC 102 Novelty (BERT): 0.4917279081535141
- Combined Prediction Score: 0.3579709467798482
- Mean Citation Score: 186.771922
- Max Citation Score: 199.28851
- Similarity Product: 135.54445910503685

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