Dynamic Biometric Template Node Reallocation
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Solution Overview
Problem
Fingerprint authentication in integrated electronic devices faces challenges in reducing user delay while maintaining security, particularly when dealing with varying finger conditions and inefficient memory allocation for finger biometric templates.
Innovation Solution
An electronic device with a processor that generates and reallocates finger biometric template nodes based on factors like finger size, positional variability, and usage frequency, allowing dynamic memory management for improved authentication speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed number of finger biometric template nodes are allocated in memory, then memory management is simple, but authentication speed and accuracy cannot adapt to varying finger conditions
Solution Approach 1:
The patent implements dynamic reallocation of finger biometric template nodes in memory based on usage frequency and finger conditions. The system transitions from static fixed allocation to dynamic adjustment, where the number of nodes per finger template is automatically modified according to actual authentication needs and finger quality variations, thereby improving authentication speed without excessive complexity increase
Solution Approach 2:
The system changes the parameter of memory allocation by adjusting the number of biometric template nodes per finger based on usage frequency and finger conditions. This parameter modification allows the system to optimize authentication performance adaptively, balancing speed and accuracy while managing memory resources more effectively
2Measurement precision
If more finger biometric template nodes are stored, then authentication accuracy improves, but memory usage increases
Solution Approach 1:
The patent applies local quality by allocating different numbers of biometric template nodes to different fingers based on their individual characteristics and usage frequency. Frequently used fingers or fingers with better quality prints receive more nodes for higher accuracy, while less critical fingers use fewer nodes, optimizing the balance between overall authentication accuracy and total memory consumption
Solution Approach 2:
The system dynamically adjusts the number of biometric template nodes per finger based on usage frequency and quality metrics. This parameter change enables the system to concentrate memory resources on critical authentication cases while reducing allocation for less important cases, maintaining high accuracy where needed while controlling overall memory usage
3Loss of time
If authentication processing is performed quickly, then user delay is reduced, but security verification may be compromised
Solution Approach 1:
The patent implements preliminary action by pre-processing and organizing biometric template nodes before authentication is needed. The system maintains ready-to-use template structures and pre-allocates memory resources, allowing authentication to proceed quickly without compromising verification thoroughness. Critical security checks are performed using pre-prepared data structures that enable fast comparison
Solution Approach 2:
The system dynamically adjusts the authentication process based on finger quality and usage patterns. For high-quality, frequently used fingers, the system can perform faster verification with fewer nodes, while maintaining rigorous security checks for less optimal cases. This dynamic approach reduces average user delay while preserving security verification reliability
Data Source
AI summary
An electronic device may include a finger biometric sensor, a memory, and a processor capable of generating a respective finger biometric template node for each finger positioning adjacent the finger biometric sensor. The processor may also be capable of allocating a set space of the memory to store a total number of finger biometric template nodes based upon a first number of fingers and with each finger having a first number of finger biometric template nodes associated therewith. In addition, the processor may reallocate the set space of the memory to store the total number of finger biometric template nodes but with a second number of finger biometric template nodes associated with at least one finger, with the second number of finger biometric template nodes being different than the first number of finger biometric template nodes.