Iris Identification Using Pupil Center Reference Pixels

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Solution Overview

Problem

Accurate identification of iris patterns in biometric authentication is challenging due to the iris's characteristic properties of expanding or contracting with light and changing shape, requiring precise image processing to capture and analyze the iris image effectively.

Innovation Solution

An image processing device that extracts low-intensity pixels from a digital eye image, assigns values to pixels within a specified distance of these pixels, and sets a reference pixel for the pupil center, using circles with varying radii to calculate the ratio of low-intensity pixels and determine the pupil center position, thereby enhancing iris pattern identification accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the iris image is processed to identify the iris pattern, then authentication accuracy is improved, but the complexity of image processing increases due to the iris's dynamic properties

Engineering Contradiction:
Improveiris pattern identification accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the iris image processing into distinct functional modules: extraction unit for identifying low-intensity pixels, assignment unit for assigning values to pixels within specified distances, and setting unit for determining the pupil center. This segmentation allows complex processing to be broken down into manageable steps, improving accuracy while maintaining system organization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary actions by extracting low-intensity pixels and assigning values to pixels within specified distances before final pupil center determination. This preliminary processing prepares the data in advance, making the subsequent authentication process more efficient and accurate without increasing overall system complexity.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If multiple processing steps are applied to enhance iris identification accuracy, then authentication reliability is improved, but processing time increases

Engineering Contradiction:
Improveauthentication reliabilityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies partial action by processing only the necessary portions of the iris image - specifically extracting low-intensity pixels and assigning values only to pixels within specified distances from these low-intensity pixels. This partial processing approach maintains authentication reliability by focusing on critical areas while reducing overall processing time compared to processing the entire image.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent utilizes parameter changes by adjusting the specified distance values and intensity thresholds dynamically. The assignment unit assigns values based on specified distances from low-intensity pixels, and the setting unit determines the pupil center based on totaled values. These parameter adjustments optimize the balance between processing thoroughness and time efficiency.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9078600B2Image processing device, biometric authentication device, image processing method, and recording medium
Publication Date: 2015.07.14 NEC CORP
  • US9078600B2 patent drawing
  • US9078600B2 patent drawing
  • US9078600B2 patent drawing

AI summary

An image of the iris contained in an image of an eye is accurately specified. An image of the iris contained in a digital image (P) of an eye is accurately specified. In view of low-intensity pixels of the digital image (P) of the eye, and high-intensity pixels having a predetermined relationship with the low-intensity pixels, a reference pixel (PX0) that defines the center of the pupil is determined. Thereby, the center of the pupil can be specified more accurately when compared to the case where, for example, it is determined only from the low-intensity pixels. Therefore, the accuracy of the process to specify the iris image on the basis of the reference pixel is improved, and as a result, the iris image can be accurately specified.