Iris Code Synthesis via Rotational Compensation and Majority Rule

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Solution Overview

Problem

Low-quality cameras in mobile terminals, such as cellular mobile phones, lead to high false rejection rates in iris authentication due to bit inversion and noise issues, resulting in unstable iris code generation.

Innovation Solution

The method involves rotational compensation and synthesis of iris codes using a majority rule, or accumulating images after polar coordinate transformation and band limitation to improve signal-to-noise ratio (S/N) and stabilize iris code generation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If a low S/N camera is used in mobile terminals, then device cost and size are reduced, but false rejection rate increases due to bit inversion and noise

Engineering Contradiction:

Improvedevice costVSAvoidfalse rejection rate

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The patent combines multiple low-S/N images through image accumulation and rotational compensation to synthesize a single high-quality iris code. By merging multiple noisy images, the system achieves stable iris code generation that reduces false rejection rates while using affordable mobile cameras

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent performs preliminary image accumulation and rotational compensation before generating the final iris code. This preliminary processing of multiple images stabilizes the signal-to-noise ratio early in the pipeline, preventing bit inversion issues during subsequent iris code generation

Inventive Principle:

Principle #10Preliminary action

2Device complexity

If a low S/N camera is used, then device complexity is reduced, but measurement precision deteriorates due to noise and bit inversion

Engineering Contradiction:

Improvedevice complexityVSAvoidmeasurement precision

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent merges multiple low-precision measurements (images) through accumulation and rotational compensation to produce a single high-precision iris code. This combining approach maintains simple device hardware while significantly improving measurement precision by averaging out noise across multiple images

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent creates multiple copies of the iris image through sequential capture and then processes these copies through accumulation and rotational compensation. This copying strategy allows the system to gather redundant information that compensates for noise in each individual low-S/N image

Inventive Principle:

Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach reduces false rejection rates and stabilizes iris code generation, enabling reliable personal authentication even with low S/N cameras, thus improving the practicality of iris authentication systems.

Implementation Method 1

Irradiate an iris using near-infrared LED, or the like, to obtain an iris image

Methodology Applied

Scientific EffectInfrared radiation: Infrared Radiation

Data Source

PatentUS7486806B2Iris encoding method, individual authentication method, iris code registration device, iris authentication device, and iris authentication program

Publication Date: 2009.02.03 PANASONIC HOLDINGS CORP

AI summary

In iris authentication, iris regions are extracted from a plurality of images (2a, 2b). The extracted iris regions are subjected to polar coordinate transformation (3a, 3b) and band limitation (4a, 4b). Thereafter, an iris code is generated from the coordinate-transformed, band-limited iris regions (5a, 5b). The iris code is subjected to rotational compensation (6a, 6b). A plurality of resultant iris codes are synthesized into a single iris code by determining the bit value of each bit based on a majority rule (7a, 7b).