Biometric Matching System Using Source-Based Process Selection
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Solution Overview
Problem
Current biometric identification systems face challenges in increasing speed and reducing error rates, which are critical in applications like payment transactions and border control, where delays or incorrect identifications can be detrimental.
Innovation Solution
A biometric identification method that selects a matching process based on source information, allocates processing resources, and applies filtering thresholds to efficiently match input biometric samples with database records, ensuring fast and accurate results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric matching methods are used to ensure accuracy, then the error rate is reduced, but the identification speed becomes too slow for practical applications
Solution Approach 1:
The patent segments the biometric database into multiple partitions or subsets, allowing the matching process to be divided into smaller tasks. Instead of comparing the input sample against the entire database sequentially, the system distributes the comparison across multiple partitions, significantly reducing the time required while maintaining comprehensive coverage through the use of multiple processing elements.
Solution Approach 2:
The patent implements dynamic resource allocation where processing resources are adaptively assigned based on the specific matching task requirements. The system can dynamically adjust the number of processing elements, memory allocation, and computational intensity according to the database size, sample type, and required accuracy level, optimizing the balance between speed and reliability for each operation.
2Reliability
If comprehensive matching processes are applied to all database records to reduce false positives, then the error rate decreases, but the processing time increases unacceptably
Solution Approach 1:
The patent applies preliminary filtering operations that quickly eliminate obviously non-matching records before applying more computationally intensive matching algorithms.预处理 steps such as feature extraction, initial similarity checks, and candidate selection are performed to reduce the search space, allowing comprehensive matching to be applied only to a small subset of promising candidates rather than the entire database.
Solution Approach 2:
The patent dynamically adjusts matching parameters such as threshold values, comparison sensitivity, and algorithm complexity based on the specific application context and input sample quality. This allows the system to maintain high reliability when needed while reducing processing time for routine or low-stakes identifications, effectively adapting the thoroughness of matching to the situation.
3Speed
If multiple processing resources are allocated to accelerate matching, then the identification speed increases, but the system complexity and resource requirements increase
Solution Approach 1:
The patent designs processing elements that can handle multiple types of biometric samples and matching algorithms through a unified architecture. The same hardware or software module can process fingerprints, facial images, or other biometric data using different algorithms, eliminating the need for separate dedicated systems for each biometric type and reducing overall system complexity while maintaining high processing speeds.
Solution Approach 2:
The patent introduces intermediary components such as preprocessing modules, feature extraction units, and result aggregation layers that simplify the coordination between multiple processing resources. These intermediaries manage the distribution of tasks, standardize data formats, and consolidate results, making the complex parallel processing system easier to control and maintain while achieving high-speed matching.
Data Source
AI summary
The present disclosure concerns a method of identifying a biometric record of an individual in a database comprising a plurality of biometric records, each record comprising at least one reference biometric sample, the method comprising: receiving, by a biometric identification unit (202), an input biometric sample with associated source information; selecting, by the biometric identification unit using a reference table (210), and based on said source information a matching process; and applying by said biometric identification unit said selected matching process to at least some of said biometric records of said database to determine whether said input biometric sample matches a reference biometric sample of one of said biometric records.