Multi-Biometric System Using Single Image Analysis
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Solution Overview
Problem
Existing biometric systems face challenges in achieving high accuracy with single-image face recognition, as they rely on holistic or local feature matching methods that are not sufficient for detailed identification, and often require multiple sensors and invasive procedures.
Innovation Solution
A multi-biometric system that integrates face, skin, and iris recognition using a single digital image, with high resolution (at least 5 mega pixels) and eye distance resolution of 600 pixels, employing skin texture analysis, elastic bunch graph matching, and Gabor wavelets for feature extraction and comparison, allowing for accurate identification with minimal user cooperation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If holistic or local feature matching methods are used for face recognition, then the system is simpler to implement, but the identification accuracy is insufficient for detailed identification
Solution Approach 1:
The patent segments the face into multiple distinct biometric regions (facial features, skin texture areas, iris) and applies specialized analysis methods to each segment. This allows the system to achieve high identification accuracy by combining multiple focused analyses rather than relying on a single holistic method, while keeping each individual analysis module relatively simple and well-defined.
Solution Approach 2:
The patent merges three distinct biometric analysis systems (face recognition, skin texture analysis, iris recognition) into a unified identification system that processes a single image. By combining these multiple analysis streams and integrating their results, the system achieves superior identification accuracy that exceeds what any single method could provide alone.
2Measurement precision
If multiple sensors and invasive procedures are used to achieve high accuracy, then the identification precision improves, but the ease of operation and user cooperation required deteriorates
Solution Approach 1:
The patent makes a single digital image sensor perform multiple biometric functions simultaneously. The same image input is used for face recognition, skin texture analysis, and iris recognition, eliminating the need for multiple separate sensors or invasive procedures. This multi-functional approach maintains high identification precision while dramatically improving ease of operation and user comfort.
Solution Approach 2:
The patent uses a single captured image as a comprehensive source that contains all necessary biometric information (facial features, skin texture, iris patterns). Rather than requiring multiple separate captures or invasive measurements, the system extracts multiple biometric modalities from one non-invasive image copy, simplifying the user experience while maintaining accuracy.
3Ease of operation
If a single digital image is used for multiple biometric analyses, then the ease of operation improves, but the measurement precision may be insufficient without high resolution
Solution Approach 1:
The patent specifies minimum resolution parameters for the single image input (at least 5 mega pixels total resolution and 600 pixels eye distance resolution) to ensure sufficient measurement precision. By establishing these quantitative parameter thresholds, the system guarantees that the single image contains adequate detail for all three biometric analyses (face features, skin texture, iris patterns) while maintaining operational simplicity.
Data Source
AI summary
This disclosure describes methods to integrate face, skin and iris recognition to provide a biometric system for identifying individuals. These methods only require a digital image depicting a human face as source data.