Biometric Authentication Using Character Sequence Matching
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Solution Overview
Problem
Conventional fingerprint authentication methods are vulnerable to security breaches if fingerprint data is stolen or when identical twins have identical fingerprints, compromising authentication performance and information security.
Innovation Solution
An authentication method and apparatus that generate a character sequence based on data, receive and match physiological feature information sequentially inputted by a user, and determine authentication by comparing each physiological feature information with its corresponding character in the sequence, enhancing security by utilizing multiple physiological features and characters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fingerprint authentication is used, then authentication simplicity is maintained, but security is compromised when fingerprint data is stolen or for identical twins
Solution Approach 1:
The patent segments the authentication process into multiple independent stages, each handling a different physiological feature (fingerprint, iris, face, voice). Instead of relying on a single fingerprint database, the system divides authentication into sequential verification steps, where each feature provides an additional layer of security. This segmentation resolves the contradiction by maintaining reasonable system complexity while significantly improving authentication reliability through multi-factor verification.
Solution Approach 2:
The patent combines multiple physiological feature types (fingerprint, iris, face, voice) into a composite authentication system. Each feature acts as a different 'material' with unique security properties, and their combination creates a more robust authentication mechanism than any single feature alone. This composite approach addresses the security vulnerability of single-feature systems while managing complexity through modular integration.
2Reliability
If multiple physiological features are used for authentication, then security is enhanced, but system complexity increases
Solution Approach 1:
The system segments multiple physiological features into distinct, independently manageable modules. Each feature type (fingerprint, iris, face, voice) is processed through its own dedicated verification pathway, allowing the system to scale security by adding features without proportionally increasing overall complexity. This modular segmentation enables enhanced security while maintaining system manageability.
Solution Approach 2:
The patent implements a universal authentication framework that can handle multiple physiological feature types through a common processing architecture. The system uses a unified character sequence generation and matching mechanism that works across different feature types, reducing the complexity overhead of multi-feature authentication. This multi-functional design allows the system to enhance security through diverse features while avoiding the complexity of entirely separate verification systems for each feature.
Data Source
AI summary
A method and an authentication apparatus are provided by the embodiments of the present disclosure. In the embodiments of the present disclosure, data to be processed is obtained, a character sequence is generated based on the data, physiological feature information sequentially inputted by a user is received to obtain a feature information sequence and it is determined whether every piece of physiological feature information in the feature information sequence matches with the corresponding character in the character sequence.