PATENT CLAIM ANALYSIS

Application Number: 15988928
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "125000"]

Abstract:
A method for fingerprint identification and a terminal are provided. The method includes the follows. Source fingerprint data for fingerprint identification is acquired. Fingerprint data to be processed, whose fingerprint data value in a preset threshold range, is extracted from the source fingerprint data. A feature amplifying process is performed on the fingerprint data to be processed and the fingerprint data amplified is repaired to obtain repaired target fingerprint data. A three-dimensional surface is generated according to capacitance values of pixels of the target fingerprint data, a fingerprint image is simulated via the three-dimensional surface, and the simulated fingerprint image is compared with pre-stored fingerprint verification data. The source fingerprint data is determined to be identified successfully, based on a determination that the simulated fingerprint image matches the pre-stored fingerprint verification data.

Claim (Index 1):
A method for fingerprint identification, comprising:\n acquiring source fingerprint data for fingerprint identification via a built-in fingerprint module of a terminal, wherein the source fingerprint data comprises: capacitance values formed by each pixel in an image acquisition queue on a surface of the fingerprint module and each fingerprint ridge point of a fingerprint pattern, and capacitance values formed by each pixel and each fingerprint valley point of the fingerprint pattern; extracting, from the source fingerprint data, fingerprint data to be processed, wherein the fingerprint data to be processed has a fingerprint data value in a preset threshold range and comprises a first capacitance value corresponding to fingerprint ridge points and a second capacitance value corresponding to fingerprint valley points; performing a feature amplifying process on the fingerprint data to be processed and repairing the amplified fingerprint data to obtain repaired target fingerprint data; generating a three-dimensional surface according to capacitance values of pixels of the target fingerprint data, simulating a fingerprint image via the three-dimensional surface, and comparing the simulated fingerprint image with pre-stored fingerprint verification data; and determining that the source fingerprint data is identified successfully, based on a determination that the simulated fingerprint image matches the pre-stored fingerprint verification data; wherein the amplified fingerprint data comprises fingerprint data of fingerprint peak points corresponding to amplified first capacitance value and fingerprint data of the fingerprint valley points corresponding to amplified second capacitance value; wherein the performing a feature amplifying process on the fingerprint data to be processed comprises:\n acquiring a median of all values of the first capacitance value and the second capacitance value and setting the median as an amplification reference value; \n subtracting the amplification reference value from the first capacitance value corresponding to the fingerprint peak points to obtain fingerprint peak points data to be amplified, and multiplying the fingerprint peak points data to be amplified by a designated coefficient and then adding the amplification reference value, to obtain amplified fingerprint peak points data; and \n subtracting the amplification reference value from the second capacitance value corresponding to the fingerprint valley points to obtain fingerprint valley points data to be amplified, and multiplying the fingerprint valley points data to be amplified by a designated coefficient and then adding the amplification reference value, to obtain amplified fingerprint valley points data.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 93.0
- Lexical Diversity: 2.25
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15846236', '15549896', '15550844', '15842445', '15842934']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3289991677078304
- 35 USC 102 Novelty (BERT): 0.4958386501301319
- Combined Prediction Score: 0.3456831159500606
- Mean Citation Score: 175.67433400000004
- Max Citation Score: 268.36377000000005
- Similarity Product: 225.9045198208738

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