Biometric Identity Verification Using Feature Distance and Asymmetric Encryption
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Solution Overview
Problem
Conventional identity verification systems fail to ensure that the person decrypting encrypted data is the intended recipient, as they only verify the key rather than the user, leading to potential unauthorized access to physical and digital assets.
Innovation Solution
A method and system using biometric data for real-time identity verification, which creates a face sample database, calculates feature databases, and generates a private key associated with the intended recipient based on their biometric data for secure encryption and decryption processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional key-based access control systems are used, then access verification is simple and fast, but the system cannot determine if the person holding the key is the actual authorized user
Solution Approach 1:
The patent introduces biometric data (fingerprint, facial recognition, iris scan) as an intermediary verification layer between the user and the access control system. This mediator confirms the user's identity independently of the key they possess, resolving the contradiction by adding reliability without requiring complete system redesign
Solution Approach 2:
The system changes the verification parameter from purely mechanical (key matching) to a combination of mechanical (key or code) and biological (biometric characteristics). This parameter change enables reliable user identification while maintaining operational simplicity through multi-factor authentication
2Power
If symmetric encryption is used for digital asset protection, then encryption and decryption are efficient, but the security key must be shared between parties creating vulnerability
Solution Approach 1:
The patent implements asymmetric encryption where the public key is freely shareable for encryption while the private key remains secret for decryption. This asymmetric structure resolves the contradiction by enabling efficient encryption without key sharing vulnerabilities, as the private key never needs to be transmitted or stored externally
Solution Approach 2:
The encryption system is segmented into two distinct functional components: public key for encryption/verification and private key for decryption/signature creation. This segmentation allows each key to serve its specific purpose without compromising security, maintaining efficiency while eliminating the need to share sensitive decryption credentials
3Reliability
If asymmetric encryption with private key decryption is used, then security is improved, but it cannot determine whether the person decrypting was the intended recipient
Solution Approach 1:
The patent incorporates biometric verification as a feedback mechanism that confirms the user's identity at the moment of decryption. This feedback loop ensures that the person performing decryption is indeed the authorized recipient by comparing their biometric characteristics against stored templates, thereby preventing key theft while maintaining security
Solution Approach 2:
The system merges cryptographic verification (private key decryption) with biometric verification (fingerprint, facial, or iris recognition) into a unified authentication process. This combination ensures both security through encryption and identity confirmation through biometrics, resolving the information loss about user identity while maintaining strong security
4Reliability
If biometric data is collected and stored for verification, then identity verification accuracy is improved, but the system complexity and data storage requirements increase
Solution Approach 1:
The patent extracts only the essential biometric features (such as ridge patterns in fingerprints or key facial landmarks) rather than storing complete biometric images. This extraction approach reduces data storage requirements and processing complexity while maintaining high verification accuracy by focusing on discriminative features
Data Source
AI summary
An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method includes creating a face sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features of entries in the sample database, calculating positive samples by calculating a feature absolute value distance for a same position of any two different images from one person, calculating negative samples by calculating a feature absolute value distance for a same position of different people, calculating a key bin feature using a learning algorithm, calculating a classifier from the key bin feature for use in identifying and authenticating an acquired face image of a person-to-be-identified and identifying and authenticating the person-to-be-identified using the classifier and the acquired face image of the person-to-be-identified.