PATENT CLAIM ANALYSIS

Application Number: 15987571
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["726", "019000"]

Abstract:
A method and a terminal for unlocking a screen of a terminal having fingerprint sensors are provided. The method includes the following. A press instruction on a designated unlocking area of the terminal is acquired. A press interrupt request is initiated according to the press instruction and fingerprint data are collected at a press position corresponding to the press instruction. The fingerprint data are compared with fingerprint verification data pre-stored in the terminal. Based on a determination that the fingerprint data and the fingerprint verification data are matched, a screen interface of the terminal is enabled and the screen of the terminal is lit up when a response instruction of the press interrupt request is received.

Claim (Index 11):
The terminal of  claim 9 , wherein the processor is further configured to:\n prior to the processor acquires the press instruction on the designated unlocking area of the terminal:\n acquire a touch instruction on the designated unlocking area of the terminal when the screen of the terminal is in a normal operation state and the terminal is in a fingerprint collection mode; \n collect fingerprint data of a touch finger corresponding to the touch instruction and extracting fingerprint ridges of the touch finger from the fingerprint data; and \n store the fingerprint ridges of the touch finger as the fingerprint verification data into the memory of the terminal, and exit the fingerprint collection mode of the terminal.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.32075
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15975894', '15846237', '15962655', '15824508', '15975887']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3111313609844144
- 35 USC 102 Novelty (BERT): 0.4934814647998176
- Combined Prediction Score: 0.3293663713659547
- Mean Citation Score: 216.68446000000003
- Max Citation Score: 236.69936
- Similarity Product: 173.76584971197133

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test