PATENT CLAIM ANALYSIS

Application Number: 15871150
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "125000"]

Abstract:
The invention discloses a method and system for identifying fingerprint. The method comprises: S 1 : adjusting a camera to focus the camera on a lens; S 2 : capturing continuously by the camera fingerprint images formed by a finger pressing the lens, and sending the fingerprint images to an image processing module; and S 3 : processing the fingerprint images by the image processing module so as to acquire fingerprints. In this way, only a common camera is required for acquiring the fingerprint according to the invention, which is easy to operate at a low cost.

Claim (Index 4):
The method for identifying a fingerprint according to  claim 1 , wherein, step S 2  specifically comprises:\n S 20 : determining by the camera whether a brightness component value Y is smaller than a preset value, according to the YUV format; \n executing S 23  of capturing a fingerprint image by the camera and sending the fingerprint image to the image processing module, if the brightness component value Y is smaller than the preset value; \n otherwise, executing S 24  of capturing continuously by the camera fingerprint images formed by the finger pressing the lens, and returning to the execution of S 20 .

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 1.85965
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13437776', '14572833', '14947419', '10345420', '11103426']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3510934464362402
- 35 USC 102 Novelty (BERT): 0.4910655841458569
- Combined Prediction Score: 0.3650906602072019
- Mean Citation Score: 165.48684400000005
- Max Citation Score: 180.32501
- Similarity Product: 115.77476492765008

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

Dataset: test