PATENT CLAIM ANALYSIS

Application Number: 16052702
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["726", "018000"]

Abstract:
An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if the digital and reference iris images match, transition an object from a locked to an unlocked state to allow access to the object.

Claim (Index 15):
A method of authenticating a person to access an object via an iris biometric recognition module comprising program instructions stored in memory and causing one or more processors to execute the steps of:\n aligning a lens of an iris imager device with the iris of the person; operating an illuminator device to illuminate the iris; operating the iris imager device to produce a digital image of the iris; comparing the digital image to a reference iris image; and responsive to a determination that the digital image matches the reference iris image, transitioning an access control mechanism coupled to the object from the locked state, in which the access control assembly prevents the person from accessing an object, to the unlocked state in which the access control assembly allows the person to access the object

Metadata:
- Claim Count in Document: 6.0
- Percentile: 96.0
- Lexical Diversity: 1.77551
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14863950', '15514098', '14863936', '14509366', '14509356']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.306318926555581
- 35 USC 102 Novelty (BERT): 0.5379976959483544
- Combined Prediction Score: 0.3294868034948583
- Mean Citation Score: 347.684146
- Max Citation Score: 389.59485
- Similarity Product: 372.2367500628233

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