Iris Focus Determination Using Luminance Variance
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Solution Overview
Problem
Existing information processing systems face challenges in accurately determining whether a target image is in focus, particularly when using images that include body parts like eyes, due to variations in luminance values caused by darker or brighter areas such as pupils and reflections, which can reduce authentication accuracy.
Innovation Solution
An information processing apparatus and method that sets an evaluation area within a target image to assess focus based on the variance of luminance values of pixels, excluding areas like pupils and reflections to improve focus determination accuracy, and uses this determination for authentication purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the evaluation area includes the entire target image, then the evaluation is comprehensive, but the accuracy is reduced due to varying luminance values from non-iris areas
Solution Approach 1:
The patent segments the target image into distinct evaluation areas (iris area, pupil area, reflection area, and other areas) and selectively applies focus evaluation only to the iris area. This segmentation allows the system to exclude regions with varying luminance values (pupil, reflection, and other non-iris areas) while maintaining comprehensive evaluation of the relevant iris region for accurate focus determination.
Solution Approach 2:
The patent applies different evaluation criteria to different regions of the image. Specifically, it evaluates the variance of luminance values only within the iris area while excluding the pupil area, reflection area, and other areas from the focus determination. This local quality approach ensures that the focus evaluation is performed only on the region with stable luminance characteristics, thereby improving measurement precision.
2Measurement precision
If images with varying luminance values are used for authentication, then the authentication process is simpler, but the authentication accuracy is reduced
Solution Approach 1:
The patent segments the image into functional regions (iris, pupil, reflection, and other areas) and applies focus evaluation only to the iris area. This segmentation enables the system to use simple variance calculation on a restricted region rather than complex processing of the entire image, thereby improving authentication accuracy without excessive complexity.
Solution Approach 2:
The patent changes the evaluation parameter from considering the entire image to considering only the iris area variance. By changing the spatial parameter (evaluation region) rather than introducing complex processing algorithms, the system achieves higher authentication accuracy while maintaining relatively simple device implementation.
Data Source
AI summary
An information processing apparatus includes: a setting unit that sets an evaluation area in a target image including at least a body of a target, for evaluating a focus degree of a body area including a part of the body of the target; and a determination unit that determines whether or not the target image is a focused image in which the body area is in focus, on the basis of variance of luminance values of a plurality of pixels included in the evaluation area.