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 5):
The method according to  claim 4 ,\n wherein the deep convolutional neural network comprises five convolution groups and two fully connected layers, and each of the convolution groups comprises two convolution sub-layers and one pooling layer, and wherein the selecting convolution outputs of N intermediate sub-layers 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 comprises: extracting an output of the pooling layer of a fourth convolution group, and stringing all values of the output into a first vector; performing PCA transform on the first vector and reserving a first number of principal components to obtain a first insertion vector; extracting an output of the pooling layer of a fifth convolution group, stringing all values of the output into a second vector, and inserting the first insertion vector into a header of the second vector; performing PCA transform on the inserted second vector, and reserving a second number of principal components to obtain a second insertion vector; extracting an output of a second fully connected layer as a third vector, and inserting the second insertion vector to a header of the third vector; and performing PCA transform on the inserted third vector, and reserving a third number of principal components to obtain the feature 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): 0.3408731209392033
- 35 USC 102 Novelty (BERT): 0.5016124852326633
- Combined Prediction Score: 0.3569470573685493
- Mean Citation Score: 186.771922
- Max Citation Score: 199.28851
- Similarity Product: 120.8548506648147

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