Plenoptic Iris Recognition via Depth Reconstruction

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Solution Overview

Problem

Iris recognition technologies face challenges with off-angle perspectives, out-of-focus images, and interference from contact lenses, limiting their effectiveness in real-world applications.

Innovation Solution

The use of plenoptic cameras and advanced image processing techniques to generate fully focused iris images by reconstructing in-focus regions from off-angle images and detecting contact lenses through three-dimensional shape analysis, enabling improved iris recognition even under less than ideal conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional iris recognition is used with off-angle images, then the system is simple to operate, but recognition accuracy deteriorates due to out-of-focus regions

Engineering Contradiction:
Improveiris recognition accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The method segments the off-angle iris image into multiple depth layers using plenoptic imaging data. Each layer represents a different focal depth, allowing the system to identify and extract in-focus regions from out-of-focus regions. This segmentation enables precise iris pattern extraction even from off-angle images that would otherwise be unusable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a depth dimension to the traditional 2D iris image by utilizing plenoptic imaging's light field information. This fourth-dimensional data (adding depth/Z-axis information) allows the system to reconstruct and refocus image regions at different depths, transforming cannot-be-focused off-angle images into analyzable in-focus regions.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If plenoptic imaging is used to capture full iris information, then recognition accuracy improves, but device complexity increases

Engineering Contradiction:
Improveiris recognition reliabilityVSAvoidcamera system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The plenoptic camera system performs multiple functions: it captures traditional 2D iris images, extracts depth information, identifies in-focus regions, and enables refocusing - all from a single imaging device. This multi-functionality justifies the increased device complexity by eliminating the need for multiple separate systems (camera, depth sensor, focus adjustment mechanism).

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If contact lenses are present on the iris, then the apparent iris shape changes, but this interference can be detected and corrected

Engineering Contradiction:
Improveiris pattern measurement accuracyVSAvoidcontact lens detection difficulty
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary detection of contact lenses by analyzing the geometric shape of the apparent iris before proceeding with recognition. By detecting the presence of contact lenses in advance and correcting for their distorting effects on iris geometry, the system can then accurately measure iris patterns despite the initial interference.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10387724B2Iris recognition via plenoptic imaging
Publication Date: 2019.08.20 UT BATTELLE LLC
  • US10387724B2 patent drawing
  • US10387724B2 patent drawing
  • US10387724B2 patent drawing

AI summary

Iris recognition can be accomplished for a wide variety of eye images by using plenoptic imaging. Using plenoptic technology, it is possible to correct focus after image acquisition. One example technology reconstructs images having different focus depths and stitches them together, resulting in a fully focused image, even in an off-angle gaze scenario. Another example technology determines three-dimensional data for an eye and incorporates it into an eye model used for iris recognition processing. Another example technology detects contact lenses. Application of the technologies can result in improved iris recognition under a wide variety of scenarios.