Biometric Verification System Using Segmented Screening
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Solution Overview
Problem
Current biometric recognition technologies, such as facial recognition, struggle to accurately verify individuals using facial features alone, leading to user authentication complexities and poor user experience, as a single set of facial features can match multiple users in a database.
Innovation Solution
A method and apparatus for security verification based on biometric features, which involves receiving biometric information, matching it against a pre-generated database, and optionally requiring additional verification information to ensure accurate identification, with the option to also check against a global database if the initial match fails, thereby improving verification efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If facial recognition technology is used for initial verification, then verification speed is improved, but verification accuracy deteriorates because facial features can match multiple users
Solution Approach 1:
The verification process is segmented into two distinct stages: first-stage verification using facial recognition for rapid initial screening, and second-stage verification using mobile number for precise final confirmation. This segmentation allows the system to leverage the speed advantage of biometric recognition while avoiding its accuracy limitation by adding a secondary verification layer.
Solution Approach 2:
Facial recognition is performed as a preliminary action to quickly identify potential matches before proceeding to the more accurate but slower mobile number verification. This preliminary filtering reduces the search space and prepares the system for the final accurate verification step.
2Measurement precision
If mobile number verification is added to improve accuracy, then verification accuracy is improved, but system complexity increases
Solution Approach 1:
The verification system is divided into modular components: a facial recognition module for initial screening and a mobile number verification module for final confirmation. Each module operates independently with clearly defined input-output interfaces, making the system easier to maintain and extend while achieving high verification accuracy.
3Measurement precision
If full mobile number verification is required, then verification accuracy is improved, but user convenience deteriorates
Solution Approach 1:
The system implements partial verification by using only the necessary portion of the mobile number (full number or partial number) depending on the verification context. This partial action approach maintains verification accuracy while minimizing user input requirements, thereby improving convenience.
Data Source
AI summary
Biometric information is obtained from a user. A determination is made that the obtained biometric information matches at least one entry in a biometric database. In response to determining that the obtained biometric information matches the at least one entry in the biometric database, non-biometric verification information is obtained. A determination is made as to whether at least a portion of the non-biometric verification information matches at least a portion of preset non-biometric verification information associated with the user. In response to determining that the at least a portion of the non-biometric verification information matches, a determination is made that an identity of the user is verified. In response to determining that the at least a portion of the non-biometric verification information does not match, a determination is made that the identity of the user is not verified.