Biometric Authentication Stabilizing Palm Feature Position
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Solution Overview
Problem
Biometric authentication systems face challenges in maintaining high accuracy due to unstable position adjustments of biometric features in palm images, particularly when the hand posture varies during enrollment and authentication processes, as the position of finger crotches and wrinkles can fluctuate with changes in finger angles.
Innovation Solution
A biometric authentication device that extracts and utilizes position information from finger crotches and finger root wrinkles to adjust the position of biometric features, incorporating a processor to execute processes for extracting and stabilizing these features, thereby improving the accuracy of position adjustments and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If position adjustment is performed using only finger crotch or finger joint wrinkle, then the position adjustment process is simple, but authentication accuracy deteriorates when hand posture varies
Solution Approach 1:
The patent combines multiple position adjustment targets (finger crotch, finger joint wrinkle, and palm root wrinkle) into a unified position adjustment system. By merging these different anatomical features as adjustment references, the system achieves more stable and accurate position alignment compared to using single features, thereby resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The patent makes the position adjustment system multi-functional by enabling it to select from multiple types of anatomical features (finger crotch, finger joint wrinkle, palm root wrinkle) as adjustment targets. This universality allows the system to adapt to different hand postures and conditions while maintaining accurate authentication, improving measurement precision without significantly increasing complexity.
2Measurement precision
If multiple position adjustment targets are used to improve accuracy, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary extraction and identification of multiple position adjustment targets (finger crotch, finger joint wrinkle, palm root wrinkle) before the actual authentication process. By preparing these targets in advance and establishing their positions, the system reduces the complexity of real-time position adjustment during authentication, allowing accurate alignment without excessive computational burden during the critical authentication moment.
3Productivity
If position adjustment is performed without considering finger angle changes, then the processing speed is fast, but authentication reliability deteriorates
Solution Approach 1:
The patent implements a dynamic position adjustment mechanism that adapts to varying hand postures and finger angles. By making the position adjustment process dynamic rather than static, the system can respond to different hand configurations while maintaining both processing efficiency and authentication reliability. The system adjusts the positions of multiple targets based on detected hand posture variations.
Data Source
AI summary
A biometric authentication device includes: a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: extracting a finger crotch from a palm image for comparison; extracting a finger root wrinkle from the palm image for comparison; adjusting at least one of a position of a biometric feature for comparison of the palm image for comparison and a position of an enrollment biometric feature of an enrolled palm image, based on position information of the finger crotch extracted in the extracting of the finger crotch and position information of the wrinkle extracted in the extracting of the finger root wrinkle; and comparing the biometric feature for comparison and the enrollment biometric feature after the adjusting.


