Smart Card Fingerprint Security via Relative Feature Extraction
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Solution Overview
Problem
Conventional fingerprint recognition systems using smart cards face issues with security and efficiency due to hardware limitations, such as low memory capacity and processing power, leading to potential fingerprint information compromise and inaccurate certification processes.
Innovation Solution
A security system that generates relative fingerprint information from absolute fingerprint data, applying variation information to modify and compare user features with registered features, ensuring secure certification without exposing absolute fingerprint information, thus enhancing accuracy and security without requiring additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all fingerprint information is transmitted from smart card to terminal for certification, then certification accuracy is improved, but security is worsened due to potential unauthorized access to complete fingerprint data
Solution Approach 1:
The patent extracts only the necessary feature information (minutiae points, ridge characteristics) from the complete fingerprint data and transmits this extracted subset between smart card and terminal. This extraction principle maintains certification accuracy by preserving essential identification features while removing unnecessary data that could compromise security if intercepted.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw fingerprint data into certified identification results without exposing complete fingerprint information. The certification engine acts as a mediator that receives fingerprint inputs, performs matching algorithms, and outputs only authentication decisions, preventing direct access to sensitive fingerprint data.
2Object-affected harmful factors
If complex certification algorithms are implemented in smart card to prevent information leakage, then security is improved, but processing speed and accuracy are worsened due to hardware limitations
Solution Approach 1:
The patent segments the certification system into two parts: the smart card handles minimal local verification and data storage, while the terminal system performs complex certification algorithms and matching operations. This segmentation allows computationally intensive processing to occur on the terminal with sufficient processing power, maintaining both security and certification speed despite smart card hardware limitations.
3Reliability
If complete fingerprint information is stored in smart card for match-on-card system, then certification security is improved, but memory requirements and processing complexity are worsened
Solution Approach 1:
The patent creates and uses simplified copies of fingerprint data (feature extracts, minutiae sets, ridge patterns) instead of storing complete high-resolution fingerprint images in the smart card. These copied feature representations maintain sufficient information for accurate matching while dramatically reducing memory requirements and processing complexity on the resource-constrained smart card.
Data Source
AI summary
A security system is provided. The security system includes a terminal system and a smart card. The terminal system generates relative fingerprint information of a user from absolute fingerprint information of the user, determines a similarity between the generated relative feature information of the user and registered relative fingerprint information of a smart card owner transmitted from the smart card to generate variation information, and applies the variation information to the user absolute fingerprint information to generate modified user absolute fingerprint information. The smart card determines the similarity between the modified user absolute feature information and registered absolute feature information of the smart card owner to perform a certification operation.