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 7):
An iris biometric access control system comprising:\n an iris biometric recognition module that authenticates a person to access an object, the iris biometric recognition module comprising:\n an iris imager device comprising a lens; \n an illuminator device; \n an access control mechanism coupled to the object and having a locked state that prevents access to the object and an unlocked state that allows access to the object; \n memory storing program instructions; and \n one or more processors communicatively coupled to the iris imager device, the illuminator device, the access control mechanism, and the memory, the one or more processors executing the program instructions to:\n align the lens of the iris imager device with an iris of the person; \n operate the illuminator device to illuminate the iris; \n operate the iris imager device to produce a digital image of the iris; \n compare the digital image to a reference iris image; and \n responsive to a determination that the digital image matches the reference iris image, transition the access control mechanism from the locked state to the unlocked state.

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): 0.3061372765144113
- 35 USC 102 Novelty (BERT): 0.5382021308681175
- Combined Prediction Score: 0.329343761949782
- Mean Citation Score: 347.684146
- Max Citation Score: 389.59485
- Similarity Product: 378.06775599519614

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