PATENT CLAIM ANALYSIS

Application Number: 15864232
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "118000"]

Abstract:
A face verification method and apparatus is disclosed. The face verification method includes selecting a current verification mode, from among plural verification modes, to be implemented for the verifying of the face, determining one or more recognizers, from among plural recognizers, based on the selected current verification mode, extracting feature information from information of the face using at least one of the determined one or more recognizers, and indicating whether a verification is successful based on the extracted feature information.

Claim (Index 11):
The method of  claim 9 , wherein the plurality of different recognizers include a first neural network model recognizer and a second neural network model recognizer, the first neural network model recognizer and the second neural network model recognizer being characterized as having been respectively trained using one or more different pieces of training data, and\n wherein the first neural network model recognizer is trained to perform low light face feature extraction for low light condition face verification and the second neural network model recognizer is trained with training data associated with a face region including one or more occlusion regions.

Metadata:
- Claim Count in Document: 173.0
- Percentile: 86.0
- Lexical Diversity: 1.93478
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14958030', '14938365', '14995275', '14340553', '15189454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3529570094748816
- 35 USC 102 Novelty (BERT): 0.4910426664353122
- Combined Prediction Score: 0.3667655751709247
- Mean Citation Score: 195.889194
- Max Citation Score: 216.91351
- Similarity Product: 156.3359203658587

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