PATENT CLAIM ANALYSIS

Application Number: 16196198
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "125000"]

Abstract:
A method and an apparatus for updating fingerprint templates, and a mobile terminal are provided. The method includes acquiring a fingerprint image input by a user. The fingerprint image is compared with fingerprint templates pre-stored in a fingerprint template set, where the fingerprint template set comprises N fingerprint templates and N is a positive integer. A mobile terminal performs a target operation when a match value between the fingerprint image and an ith fingerprint template of the fingerprint template set is greater than a first preset threshold. The method determines whether the match value set is greater than a second preset threshold. The method generates a new fingerprint template based on the fingerprint image and adds the new fingerprint template to the fingerprint template set when the match value between the fingerprint image and the ith fingerprint template is greater than the second preset threshold.

Claim (Index 8):
The apparatus of  claim 6 , wherein a matching order is determined according to the weight information of each of the fingerprint templates when the fingerprint image input by the user is matched with at least one of the fingerprint templates in the fingerprint template set based on the matching order.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 2.59322
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15703143', '15853304', '15990202', '15985101', '15726326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3649436595288142
- 35 USC 102 Novelty (BERT): 0.4898120105198352
- Combined Prediction Score: 0.3774304946279163
- Mean Citation Score: 228.946878
- Max Citation Score: 252.16591
- Similarity Product: 211.8135711367821

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