PATENT CLAIM ANALYSIS

Application Number: 15989042
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-05
Patent Classification: ["382", "124000"]

Abstract:
A method for controlling unlocking is provided. The method includes the following operations. M first fingerprint images are received when a touch operation of a finger of a user on a fingerprint recognition module of a terminal device is detected. N second fingerprint images are received based on N sets of capacity auto control (CAC) parameters when the finger of the user is in a steady state. A first target fingerprint image is determined and a matching process on the first target fingerprint image is performed. The terminal device is unlocked when the first target fingerprint image is matched.

Claim (Index 9):
A computer readable storage medium, being configured to store programs, the programs being operable to perform the following:\n receiving M first fingerprint images when a touch operation of a finger of a user on a fingerprint recognition module of a terminal device is detected, wherein M is an integer greater than or equal to 1; determining whether the finger of the user is in a steady state based on the M first fingerprint images; determining whether the finger of the user is a wet finger based on the M first fingerprint images in the process of determining whether the finger of the user is in the steady state; determining N sets of capacity auto control (CAC) parameters corresponding to the wet finger, and receiving N second fingerprint images based on the N sets of CAC parameters corresponding to the wet finger, when the finger of the user is in the steady state and the finger of the user is the wet finger, wherein N is an integer greater than 1; determining a first target fingerprint image, and matching the first target fingerprint image, wherein the first target fingerprint image is a fingerprint image with the best image quality among the N second fingerprint images; and unlocking the terminal device when the first target fingerprint image is matched; wherein M is an integer greater than 1, and the determining whether the finger of the user is a wet finger based on the M first fingerprint images comprises:\n determining a second target fingerprint image, wherein the second target fingerprint image is a fingerprint image having the best clarity among the M first fingerprint images; \n acquiring K underlying data configured to generate the second target fingerprint image, wherein K is an integer greater than 1; \n determining that the finger is the wet finger, when a number of underlying data in a default range among the K underlying data is greater than or equal to a first threshold; and \n determining that the finger is not the wet finger, when the number of the underlying data in the default range among the K underlying data is less than the first threshold; or \n wherein M is an integer greater than 1, and the determining whether the finger of the user is a wet finger based on the M first fingerprint images comprises:\n determining a third target fingerprint image, wherein the third target fingerprint image is a fingerprint image having the best clarity among the M first fingerprint images; \n extracting feature points of the third target fingerprint image; \n determining that the finger is the wet finger, when the number of the feature points of the third target fingerprint image is less than a second threshold; and \n determining that the finger is not the wet finger, when the number of the feature points of the third target fingerprint image is greater than or equal to the second threshold.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 93.0
- Lexical Diversity: 1.94545
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15787042', '15584913', '15589250', '15989034', '15603878']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3390408624403636
- 35 USC 102 Novelty (BERT): 0.5065528549564623
- Combined Prediction Score: 0.3557920616919735
- Mean Citation Score: 253.755542
- Max Citation Score: 278.15622
- Similarity Product: 231.8569613876689

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

Dataset: test