PATENT CLAIM ANALYSIS

Application Number: 16133116
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["726", "028000"]

Abstract:
This disclosure describes methods and systems for a biometric identity management system capable of being deployed incrementally one organization at a time, and also reversibly, such that any organization can unsubscribe at any time. A biometric processing engine can perform biometric matching between records from a first database and a second database, whereby the databases have been established independently of each other. Each record comprises a biometric record and a corresponding identifier unique across databases. If a biometric record of a first record and a biometric record of a second record are from a same individual, the first record comprising a first unique identifier and the second record comprising a second unique identifier are linked. Using the first or second unique identifiers, access to information about the individual linked to both the first record in the first database and the second record in the second database is provided.

Claim (Index 2):
The method of  claim 1 , wherein determining that the first biometric record and the second biometric record are from the same individual comprises determining that a level of matching between the first biometric record and the second biometric record exceeds a predefined threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.13514
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15681104', '11108807', '13633355', '13633372', '10686005']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2878864377688037
- 35 USC 102 Novelty (BERT): 0.5796959089217139
- Combined Prediction Score: 0.3170673848840948
- Mean Citation Score: 248.086502
- Max Citation Score: 464.22107
- Similarity Product: 462.4067656744253

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