Biometric Identity Recognition via Dynamic Library Segmentation
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Solution Overview
Problem
Current identity recognition technologies in scenarios like subway entry and exit require additional user interaction and can be inefficient due to large sample libraries, leading to reduced recognition accuracy and congestion.
Innovation Solution
An identity recognition system that dynamically maintains a limited biometric library by obtaining and managing pre-stored user biometric information within a preset range, using Bluetooth connections and location data, and enabling/disabling terminal functions based on recognition results, allowing for seamless and accurate biometric authentication without additional user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large biometric sample library is used for recognition, then the recognition coverage is improved, but the recognition accuracy decreases and processing time increases
Solution Approach 1:
The patent segments the biometric sample library into multiple subsets based on spatial location. Instead of using one large library containing all user biometric data, the system divides it into smaller location-specific libraries. When a user approaches a terminal, only the subset corresponding to that terminal's location is used for recognition, thereby maintaining high accuracy while covering multiple locations through segmentation.
Solution Approach 2:
The patent applies local quality by making each biometric library subset location-specific rather than uniform. Each subset is tailored to a particular terminal or location, containing only the biometric data relevant to that specific area. This ensures high recognition accuracy at each location while the overall system maintains broad coverage through multiple localized subsets.
2Adaptability or versatility
If a large biometric sample library is used for recognition, then the recognition coverage is improved, but the processing time and system congestion increase
Solution Approach 1:
The patent segments the biometric sample library into multiple subsets based on spatial location. Instead of using one large library containing all user biometric data, the system divides it into smaller location-specific libraries. When a user approaches a terminal, only the subset corresponding to that terminal's location is used for recognition, thereby maintaining high accuracy while covering multiple locations through segmentation.
Solution Approach 2:
The patent applies partial action by using only the necessary portion of the biometric library for each recognition task. Instead of searching through the entire library, the system activates only the specific subset relevant to the current terminal and user location. This partial usage significantly reduces processing time and computational resources while still achieving complete coverage across all locations.
3Reliability
If additional user information input is required for authentication, then the authentication reliability is improved, but the ease of operation decreases
Solution Approach 1:
The patent applies self-service by enabling automatic authentication through biometric recognition alone. The system automatically retrieves the user's biometric data from the appropriate subset, performs recognition, and completes authentication without requiring the user to manually input additional information such as phone numbers or passwords. The user simply needs to present their biometric特征, and the system handles the entire authentication process autonomously.
Solution Approach 2:
The patent replaces mechanical interaction (manual information input) with biometric recognition. Instead of requiring users to physically type or enter additional authentication information, the system uses automated biometric detection and comparison. This substitution eliminates the need for manual input while maintaining or enhancing authentication reliability through more accurate biometric verification.
4Ease of operation
If public transportation cards or QR codes are used for entry and exit, then the ease of operation is maintained, but the productivity and efficiency decrease
Solution Approach 1:
The patent replaces mechanical interaction (manual information input) with biometric recognition. Instead of requiring users to physically type or enter additional authentication information, the system uses automated biometric detection and comparison. This substitution eliminates the need for manual input while maintaining or enhancing authentication reliability through more accurate biometric verification.
Solution Approach 2:
The patent replaces mechanical interaction (manual information input) with biometric recognition. Instead of requiring users to physically type or enter additional authentication information, the system uses automated biometric detection and comparison. This substitution eliminates the need for manual input while maintaining or enhancing authentication reliability through more accurate biometric verification.
Data Source
AI summary
The present disclosure provides an identity recognition system for a terminal. The system includes: an obtaining device configured to obtain pre-stored biometric information corresponding to a user within a preset range of the terminal; a biometric library configured to maintain the obtained pre-stored biometric information; a collection device configured to collect first biometric information of the user; and a recognition device configured to recognize the first biometric information in the biometric library, and decide to enable or disable one or more functions or components of the terminal according to a recognition result. The present disclosure further provides an identity recognition method, a computer storage medium and a terminal.