Iris-Sclera Boundary Detection via Localized Pupil Search
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Solution Overview
Problem
Conventional methods for detecting the boundary between the iris and the sclera in iris recognition technology are inefficient due to their reliance on global image search, leading to prolonged processing times in biometric authentication systems.
Innovation Solution
A method involving the selection of pixels in a predefined region around the pupil, forming pixel groups, calculating feature values based on brightness differences, and determining boundary pixels by comparing sums of brightness to the left and right of each pixel, allowing for precise and rapid detection of the iris-sclera boundary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional circular boundary detector is used to calculate the distance from the pupil center to the iris-sclera boundary, then the boundary detection can be performed, but the processing time becomes excessively long due to global image search
Solution Approach 1:
The patent divides the image processing task into segments by first detecting the pupil center and then performing boundary detection only in the iris region surrounding the pupil. This segmented approach replaces the conventional global image search with a localized search, significantly reducing processing time while maintaining detection accuracy.
Solution Approach 2:
The patent applies local quality by focusing computational resources only on the relevant iris region rather than the entire image. By detecting the pupil center first and then searching only in the surrounding iris area, the method concentrates processing power where it is needed, reducing overall processing time while preserving boundary detection precision.
2Reliability
If a global image search method is used for boundary detection, then comprehensive search coverage is achieved, but the authentication efficiency decreases due to prolonged processing time
Solution Approach 1:
The patent performs preliminary action by detecting the pupil center before performing the iris-sclera boundary detection. This preliminary step establishes a reference point that enables subsequent localized search, ensuring reliable detection while improving authentication efficiency by avoiding unnecessary global search of the entire image.
3Area of stationary object
If the entire circular region is processed for boundary detection, then complete iris area coverage is achieved, but the computational complexity and processing time increase significantly
Solution Approach 1:
The patent segments the computational task by dividing it into two phases: pupil center detection followed by boundary detection in the iris region. This segmentation reduces computational complexity by processing only the necessary iris area rather than performing complex operations on the entire circular region, while still achieving complete iris area coverage.
Data Source
AI summary
A method of detecting the boundary between the iris and the sclera, particularly, a method of detecting the boundary between the iris and the sclera from part of a captured image of a user's eye area, is provided. According to this method, the boundary between the iris and the sclera can be quickly and precisely detected, compared to when using an existing circular boundary detector.