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 4):
The method according to  claim 2 , wherein the extracting the concatenated PCA convolution feature of each of the images in the to-be-authenticated ternary image group to obtain the feature vectors comprises:\n inputting each of the images in the to-be-authenticated ternary image group to a pre-trained deep convolutional neural network; and selecting convolution outputs of N intermediate sub-layers of convolution groups in the deep convolutional neural network, as concatenated layers, and sequentially performing PCA transform on the obtained concatenated layers layer by layer to output the feature vector, wherein N\u22652.

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): 0.3434833539374835
- 35 USC 102 Novelty (BERT): 0.4900768521920037
- Combined Prediction Score: 0.3581427037629355
- Mean Citation Score: 186.771922
- Max Citation Score: 199.28851
- Similarity Product: 137.99869217562556

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