PATENT CLAIM ANALYSIS

Application Number: 16248694
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["726", "030000"]

Abstract:
Provided are a method for securely calling fingerprint information, an apparatus for securely calling fingerprint information, and a mobile terminal. The method includes: receiving a request for calling the fingerprint information (S 101 ); according to a unique identification in an application process sending the request for calling the fingerprint information, determining whether the application corresponding to the application process is a legitimate application (S 102 ); when it is determined that the application corresponding to the application process is a legitimate application, allowing the application corresponding to the application process to call the fingerprint information (S 103 ).

Claim (Index 15):
The terminal according to  claim 13 , wherein, the identification storing module is configured to:\n store the first unique identification in an application based on a TrustZone environment, and administrator rights being required to run the application based on the TrustZone environment; the legitimate application determining module is configured to access the application based on the TrustZone environment, and match the second unique identification in the application process with the first unique identification stored in the application based on the TrustZone environment.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 99.0
- Lexical Diversity: 2.3125
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14582547', '15853304', '13576441', '14450371', '10790302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2445621095697969
- 35 USC 102 Novelty (BERT): 0.4934068770723238
- Combined Prediction Score: 0.2694465863200496
- Mean Citation Score: 156.45983
- Max Citation Score: 163.69037
- Similarity Product: 106.34368926005124

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