PATENT CLAIM ANALYSIS

Application Number: 16197031
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "124000"]

Abstract:
A method and an apparatus for fingerprint collection are provided. The method includes the following. A damaged sensing unit among a plurality of sensing units of a fingerprint sensor is determined. A fingerprint image is collected with the plurality of sensing units when a fingerprint collection event is detected, and a fingerprint image value collected by the damaged sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor. The fingerprint image value collected by the damaged sensing unit is set to the random image value as follows. The random image value is generated by selecting a preset random-image-value generating scheme according to a distribution of the damaged sensing unit.

Claim (Index 6):
An apparatus for fingerprint collection, comprising:\n a damaged-unit determining module, configured to determine a damaged sensing unit among a plurality of sensing units of a fingerprint sensor; and a fingerprint-image collecting module, configured to collect a fingerprint image with the plurality of sensing units when a fingerprint collection event is detected, and to set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor, wherein the fingerprint-image collecting module configured to set the fingerprint image value collected by the damaged sensing unit to the random image value is configured to: generate the random image value by selecting a preset random-image-value generating scheme according to a distribution of the damaged sensing unit.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 2.55102
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15390736', '15364397', '15810186', '16137154', '15940751']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3132153351753315
- 35 USC 102 Novelty (BERT): 0.4704470381603431
- Combined Prediction Score: 0.3289385054738327
- Mean Citation Score: 155.881698
- Max Citation Score: 167.69589
- Similarity Product: 125.8808879390037

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