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 10):
The device according to  claim 9 , wherein the score fusing module comprises:\n a matching score calculating unit configured to calculate a cosine similarity degree of each pair of feature vectors of the three feature vectors corresponding to the to-be-authenticated ternary image group, as three matching scores; a difference signal calculating unit configured to calculate a difference between each of the matching scores and a preset empirical threshold corresponding to the matching score, as difference signals; a weight signal calculating unit configured to encode 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 a fusion vector synthesizing unit configured to synthesize the matching scores, the difference signals and the weight signals, as a 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): 0.3428582623253339
- 35 USC 102 Novelty (BERT): 0.4928350499426026
- Combined Prediction Score: 0.3578559410870608
- Mean Citation Score: 186.771922
- Max Citation Score: 199.28851
- Similarity Product: 133.89882070550206

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