PATENT CLAIM ANALYSIS

Application Number: 16027550
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["455", "411000"]

Abstract:
Disclosed are an iris-based living-body detection method, a mobile terminal and a storage medium. According to the method, in response to detection of the mobile terminal being lifted, the touch display screen is lighted, and the touch display screen is controlled to display preset guide content, the preset guide content is used to guide eyes watching the touch display screen to move; the iris recognition apparatus is notified to perform iris acquisition for a target object associated with the eyes, to obtain a plurality of iris images; and it is determined whether the target object is a living body with the plurality of iris images.

Claim (Index 7):
The method according to  claim 1 , wherein matching the iris image to be matched with the preset iris template comprises:\n performing multi-scale decomposition on the iris image to be matched by using a multi-scale decomposition algorithm to obtain a first high-frequency component image of the iris image to be matched, and performing feature extraction on the first high-frequency component image to obtain a first feature set; performing multi-scale decomposition on the preset iris template by using the multi-scale decomposition algorithm to obtain a second high-frequency component image of the preset iris template, and performing feature extraction on the second high-frequency component image to obtain a second feature set; screening the first feature set and the second feature set to obtain a first stable feature set and a second stable feature set; and performing feature matching on the first stable feature set and the second stable feature set, and when the number of matched feature points between the first stable feature set and the second stable feature set is greater than a preset number threshold, confirming that the iris image to be matched is matched with the preset iris template successfully.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 95.0
- Lexical Diversity: 2.05357
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16025549', '15222609', '15575796', '15458348', '14883084']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7081512968468848
- 35 USC 102 Novelty (BERT): 0.4931644860178824
- Combined Prediction Score: 0.6866526157639845
- Mean Citation Score: 198.538194
- Max Citation Score: 231.91728
- Similarity Product: 175.63253647327423

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test