PATENT CLAIM ANALYSIS

Application Number: 15761729
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["382", "124000"]

Abstract:
An optical fingerprint module includes an optical fingerprint sensor, the optical fingerprint sensor has a non-opaque substrate and a device layer disposed on the surface of the non-opaque substrate, the device layer includes a pixel area which includes a plurality of pixels, each of the plurality of pixels includes a light transmitting area and a light-blocked area, the light transmitting area includes a photosensitive device, and the light transmitting area enabling lights to transmit through the pixel area of the device layer a protection layer is disposed above the optical fingerprint sensor: a backlight source is disposed below the optical fingerprint sensor, and the angle between the light emitting from the backlight source and the surface of the pixel area is acute: a touch sensing layer is disposed between the protective layer and the optical fingerprint sensor. The optical fingerprint module structure, the performance, and the feature are improved.

Claim (Index 7):
The optical fingerprint module according to  claim 1 , wherein the backlight source comprises at least one LED, the light of the LED comprises near ultraviolet light, violet light, blue light, green Light, yellow light, red light, near infrared light, or white lights.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 2.82456
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15572076', '15570776', '15758030', '16073292', '15741979']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3697222527723338
- 35 USC 102 Novelty (BERT): 0.530170707918915
- Combined Prediction Score: 0.3857670982869919
- Mean Citation Score: 329.5109599999999
- Max Citation Score: 349.17844
- Similarity Product: 327.35129097364427

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