Iris Detection System Using Segmented Feature Figures and Points
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Solution Overview
Problem
Existing detection systems fail to simultaneously detect feature points and feature figures from images of living bodies effectively, lacking comprehensive methods for both circular and non-circular features.
Innovation Solution
A detection system comprising an acquisition unit and a detection unit that acquires and detects feature figures corresponding to circular parts and feature points around those parts on a living body, enabling simultaneous detection and recognition of iris, pupil, and eyelids from images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only feature points are detected from images, then the detection method is simple, but the detection accuracy and comprehensiveness are insufficient
Solution Approach 1:
The detection method segments the detection task into two distinct components: detecting feature points (second parts) and detecting feature figures (first parts). This segmentation allows each component to be optimized independently while working together to provide comprehensive detection, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The patent merges the detection of feature points and feature figures into a unified detection system. By combining both detection types and integrating their results, the system achieves higher detection accuracy and comprehensiveness while maintaining a cohesive detection methodology.
2Adaptability or versatility
If only circular features are detected, then the detection is focused, but the comprehensiveness of feature detection is limited
Solution Approach 1:
The detection system is designed with multi-functionality to detect both circular features (feature figures) and non-circular features (feature points). This universal detection capability allows the system to handle various feature types without requiring separate specialized systems, thereby improving comprehensiveness while managing complexity.
Solution Approach 2:
The system applies different detection strategies to different types of features based on their local characteristics. Circular features are detected using methods optimized for circular shapes, while non-circular features are detected using methods optimized for point-like characteristics. This localized optimization enables comprehensive feature detection without uniformly increasing system complexity.
Data Source
AI summary
A detection system (10) includes: an acquisition unit (110) configured to acquire an image including a living body; and a detection unit (120) configured to detect, from the image, a feature figure corresponding to an appropriately circular first part on the living body, and feature points corresponding to a second part around the first part on the living body. According to such a detection system, the first part and the second part with different features in shape can be individually detected appropriately.