Visible Light Iris Authentication Using Monochrome Conversion
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Solution Overview
Problem
Existing iris authentication systems require new feature values to be generated from visible light images, as they cannot utilize previously accumulated feature values from infrared images, leading to inefficiencies and increased costs.
Innovation Solution
An authentication device and method that converts visible light images into monochrome images, extracts feature values, and collates them with feature values generated from infrared images, allowing for iris authentication without the need for new feature value generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If visible light images are used for iris authentication, then system cost is reduced and infrared cameras are eliminated, but previously accumulated infrared feature values cannot be utilized requiring new feature value generation
Solution Approach 1:
The patent applies parameter changes by converting the visible light image to a monochrome image, transforming the image type to match the format of previously accumulated infrared feature values. This allows the authentication system to use existing infrared feature value databases while accepting visible light input, thereby avoiding the need to generate new feature values and eliminating the technical barrier that prevented utilization of historical authentication data.
Solution Approach 2:
The patent creates a copy of the infrared image format by converting the visible light image into a monochrome representation that mimics the characteristics of infrared images. This copied format enables compatibility with existing infrared feature value databases, allowing the system to authenticate users against previously accumulated data without requiring separate visible light feature value generation.
2Ease of manufacture
If visible light images are used for iris authentication, then infrared cameras are eliminated, but authentication accuracy may be affected due to corneal reflection and racial differences
Solution Approach 1:
The patent transforms the visible light image into a monochrome image, changing the parameter of image type to eliminate the adverse effects of color variations caused by corneal reflection and racial differences. This conversion to grayscale standardizes the image representation, allowing consistent feature extraction and comparison against infrared databases while maintaining authentication accuracy.
Solution Approach 2:
The patent extracts only the essential luminance information from the visible light image by converting it to monochrome, removing the problematic color and reflection artifacts. This extraction of core visual features while eliminating distracting elements enables accurate iris pattern recognition without the interference of corneal reflection effects that plague color images.
3Ease of operation
If color images are used for iris authentication, then racial differences and corneal reflection effects are preserved, but these create interference in feature extraction
Solution Approach 1:
The patent changes the parameter of image representation from color to monochrome, transforming the captured visible light image into a grayscale format. This parameter change eliminates the interference caused by racial differences in iris color and corneal reflection effects, while simplifying the feature extraction process by removing unnecessary color information that does not contribute to iris pattern identification.
Solution Approach 2:
The patent extracts and retains only the luminance information from the color image, discarding the color channels that cause interference. By taking out the essential brightness data while removing the problematic color components, the system achieves easier feature extraction without losing the critical iris pattern information needed for authentication.
Data Source
AI summary
In an authentication device, an image conversion unit converts a visible light image obtained by capturing a region including an iris of a subject in visible light, and generates a converted image. For example, the image conversion unit converts the visible light image into a monochrome image. A feature value extraction unit extracts a feature value of the converted image. A collation unit performs authentication of the subject by collating the feature value extracted from the converted image with a feature value generated from an infrared image of an iris.