PATENT CLAIM ANALYSIS

Application Number: 15941705
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["235", "492000"]

Abstract:
Techniques are disclosed relating to authenticate a user with a mobile device. In one embodiment, a computing device includes a short-range radio and a secure element. The computing device reads, via the short-range radio, a portion of credential information stored in a circuit embedded in an identification document issued by an authority to a user for establishing an identity of the user. The computing device issues, to the authority, a request to store the credential information, the request specifying the portion of the credential information. In response to an approval of the request, the computing device stores the credential information in the secure element, the credential information being usable to establish the identity of the user. In some embodiments, the identification document is a passport that includes a radio-frequency identification (RFID) circuit storing the credential information, and the request specifies a passport number read from the RFID circuit.

Claim (Index 9):
The computing device of  claim 1 , wherein the operations include:\n prior to storing the credential information, reading the credential information from the circuit embedded in the identification document via the short-range radio.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 2.44118
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10269033', '13390113', '14931036', '13855407', '13837278']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5751429921258931
- 35 USC 102 Novelty (BERT): 0.4760029313824452
- Combined Prediction Score: 0.5652289860515484
- Mean Citation Score: 138.44992399999998
- Max Citation Score: 139.86137
- Similarity Product: 86.39414954155683

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