PATENT CLAIM ANALYSIS

Application Number: 16038619
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "124000"]

Abstract:
Devices and optical sensor modules are provided for provide on-screen optical sensing of fingerprints by using a under-LCD or OLED screen optical sensor module that captures and detects returned light and anti-spoofing sensing for rejecting fake fingerprint models based on capacitive sensing or optical sensing.

Claim (Index 17):
A method for operating an electronic device that includes an optical sensor module for optically detecting a fingerprint and a capacitive fingerprint senor module for capacitively detecting the fingerprint, comprising:\n operating a capacitive fingerprint sensor module having an array of capacitive sensors to obtain capacitive sensor signals representing an input fingerprint pattern of an object; processing the obtained capacitive sensor signals to obtain a capacitive sensor signal parameter that includes a capacitive signal strength, an image constructed from the obtained capacitive sensor signals or an image contrast of the image constructed from the obtained capacitive sensor signals; applying the capacitive sensor signal parameter to determine whether the object is a finger of a live user; operating an optical fingerprint sensor module to optically sense whether the object is a finger of a live user and to obtain an optical image of fingerprint of the object; and combining measurements by both the optical fingerprint sensor module and the capacitive fingerprint sensor module to authenticate whether a measured fingerprint is from a finger of a liver user and whether the fingerprint is from an authorized user.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 95.0
- Lexical Diversity: 1.31429
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16028399', '15708088', '15913869', '16032048', '15983034']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4310239609365385
- 35 USC 102 Novelty (BERT): 0.5551404596831485
- Combined Prediction Score: 0.4434356108111995
- Mean Citation Score: 431.62263600000006
- Max Citation Score: 448.13293
- Similarity Product: 352.25682250575966

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