PATENT CLAIM ANALYSIS

Application Number: 16380796
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["382", "117000"]

Abstract:
A method of iris recognition comprises detecting a body region larger than and comprising at least one iris in an image and performing a first eye modelling on the detected body region. If successful, the result of first iris segmentation based on the first eye model is chosen. Otherwise, a first iris identification is performed on the detected body region. If successful, the result of second iris segmentation based on a second eye modelling is chosen. Otherwise, second iris identification is performed on the image, third eye modelling is performed on the result of the second iris identification, and third iris segmentation is performed on the result of the third eye modelling. If successful, the result of third iris segmentation based on a third eye modelling is chosen. An iris code is extracted from any selected iris segment of the image.

Claim (Index 19):
The method of  claim 16 , further comprising:\n identifying a third plurality of cardinal points around the eye based on a third eye modeling of the detected body region; performing a third iris segmentation to identify a third segment of the iris within the body region based on the third plurality of cardinal points; determining that a third confidence score associated with the third segment is less than a third threshold; and determine that the third iris segmentation failed based at least in part on the determination that the third confidence score associated with the third segment is less than the third threshold.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 100.0
- Lexical Diversity: 3.16327
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15427904', '13055250', '15948199', '13153415', '15192186']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2830747081506693
- 35 USC 102 Novelty (BERT): 0.5326906664806692
- Combined Prediction Score: 0.3080363039836693
- Mean Citation Score: 217.428026
- Max Citation Score: 340.5995200000001
- Similarity Product: 227.58210830070504

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