3D Finger Skin Analysis for Detecting Surgically Altered Fingerprints
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Solution Overview
Problem
Existing fingerprint detection methods struggle to accurately distinguish between naturally occurring skin changes and surgically induced damage, leading to false positives and negatives in identifying operated fingers.
Innovation Solution
A detecting apparatus and method that utilizes three-dimensional shape analysis of the skin to identify damaged parts on a finger, including features like roughness, height differences, and ridge line abnormalities, to accurately detect surgically altered fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional fingerprint image analysis is used, then the detection process is simple and fast, but the ability to distinguish between natural skin changes and surgical damage is insufficient
Solution Approach 1:
The patent transitions from two-dimensional fingerprint image analysis to three-dimensional surface shape analysis. By capturing the three-dimensional surface geometry of the finger, the system can detect subtle changes in skin topography caused by surgical operations that are not visible in conventional two-dimensional images, thereby improving detection accuracy without requiring complex multi-modal sensing systems.
2Reliability
If conventional fingerprint analysis methods are used, then the system is easy to operate, but false positives and negatives occur in identifying operated fingers
Solution Approach 1:
The patent replaces conventional two-dimensional image processing with three-dimensional surface shape measurement. This substitution enables the detection of surgical damage through geometric analysis of the finger surface, improving authentication reliability by providing more accurate detection of operated fingers while maintaining operational simplicity through automated 3D scanning and comparison.
3Measurement precision
If three-dimensional shape information is acquired, then the detection of surgical damage is improved, but the acquisition process becomes more complex
Solution Approach 1:
The patent employs three-dimensional surface shape analysis to detect surgical damage that cannot be identified through conventional two-dimensional imaging. By measuring the geometric characteristics of the finger surface in three dimensions, the system achieves superior detection precision for operated fingers while using a relatively simple 3D scanning mechanism that does not require complex multi-modal sensing equipment.
Data Source
AI summary
A detecting apparatus 1 comprises a acquiring part 11 acquiring three dimensions information 3DI indicating a three-dimensional shape of skin of a finger, and a detecting part 12 detecting a damaged part of the finger on the basis of the three dimensions information 3DI.