Fingerprint Anti-Counterfeiting Through Temporal Feature Analysis
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Solution Overview
Problem
Existing fingerprint anti-counterfeiting systems are vulnerable to 2.5D and 3D fake fingerprints that can mimic the ridge-valley features of real fingerprints, compromising user safety.
Innovation Solution
A fingerprint anti-counterfeiting method and apparatus that utilizes a preset anti-counterfeiting index value and binary classification model based on feature parameter values from different time sequences of the epidermal and dermal layers of a fingerprint, distinguishing between real and fake fingerprints by analyzing changes in these parameters over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ridge-valley feature identification is used for fingerprint anti-counterfeiting, then the system is simple to implement, but it is easily cracked by 2.5D and 3D fake fingerprints that simulate ridge-valley features
Solution Approach 1:
The patent transitions from static 2D ridge-valley feature analysis to dynamic multi-dimensional analysis by capturing fingerprint images at multiple time sequences and analyzing parameter changes over time. This adds the time dimension to the detection process, enabling the system to distinguish real fingerprints from static 2.5D/3D fake fingerprints that cannot replicate temporal variations.
Solution Approach 2:
The patent introduces dynamic analysis by comparing fingerprint parameter changes across different time sequences. Real fingerprints exhibit natural temporal variations in epidermal and dermal layer parameters, while fake fingerprints remain static. This dynamic approach transforms the anti-counterfeiting system from static pattern recognition to temporal behavior analysis.
2Measurement precision
If multi-time sequence feature parameter analysis is used to identify forged fingerprints, then the anti-counterfeiting accuracy is improved, but the processing complexity and time consumption increase
Solution Approach 1:
The patent extracts specific key parameters (ridge parameter values, valley parameter values) from the complex fingerprint images at each time sequence, focusing analysis on these critical features rather than processing entire images. This extraction approach reduces computational complexity while maintaining identification accuracy by concentrating on the most discriminative parameters.
Solution Approach 2:
The patent analyzes changes in specific parameters (ridge depth, valley depth, contrast values) across time sequences rather than processing complete fingerprint images. By focusing on parameter variations rather than full image analysis, the system achieves high accuracy while reducing computational burden through targeted parameter monitoring.
3Productivity
If only single-time fingerprint images are used for identification, then the processing speed is fast, but the ability to detect forged fingerprints is insufficient
Solution Approach 1:
The patent employs periodic sampling by capturing fingerprint images at multiple discrete time sequences during the pressing process. This periodic acquisition strategy balances processing speed with detection capability, collecting sufficient temporal data points to identify fake fingerprints while avoiding excessive processing overhead through optimized sampling intervals.
Data Source
AI summary
The present application provides a fingerprint anti-counterfeiting processing method and apparatus, a medium, a system and a device, and relates to the field of fingerprinting. The method includes: obtaining a fingerprinting request which includes a fingerprint to be identified; obtaining a preset first anti-counterfeiting index value corresponding to the fingerprint to be identified or a binary classification model established on the basis of the first anti-counterfeiting index value, and determining whether the fingerprint to be identified is a forged fingerprint on the basis of the first anti-counterfeiting index value or the binary classification model; wherein the first anti-counterfeiting index value is a value preset on the basis of obtained feature parameter values corresponding to the fingerprint to be identified and taken as a target fingerprint in different time sequences. Through the above method, according to the present application, the forged fingerprint may be efficiently identified, so that safety of fingerprinting is improved.