Palm Image Angle Filtering for Accurate Identity Verification
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Solution Overview
Problem
In complex palm verification payment scenarios, accidental payments can occur due to incorrect identity verification, particularly when a user's palm is mistakenly captured by the verification device.
Innovation Solution
An identity verification method that involves capturing palm images within a preset field of view, detecting key points, determining palm directions and calibration directions, and selecting images within a specific capturing angle range to ensure accurate verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a preset capturing field of view is used for palm verification, then the verification coverage is improved, but the accuracy of identity verification deteriorates due to accidental captures from incorrect angles
Solution Approach 1:
The patent changes the parameter of capturing angle by calculating the angle between the palm direction vector and the calibration direction vector. By filtering images based on whether the capturing angle falls within a preset range, the system maintains a wide field of view while ensuring accurate verification by excluding accidentally captured palms from incorrect angles.
2Measurement precision
If physical barriers are added to prevent accidental captures, then the verification accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical approach of using physical barriers with a software-based solution. By detecting palm key points, calculating palm directions, and filtering images based on capturing angles, the system achieves the same protective function without any physical structures, thereby reducing device complexity and cost.
3Reliability
If multiple palm images are captured to ensure accuracy, then the verification reliability is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary filtering of palm images by calculating capturing angles and comparing them against the preset range before proceeding to detailed verification. This preliminary action eliminates obviously incorrect images early in the process, allowing the system to maintain high reliability through selective processing while minimizing overall processing time by avoiding unnecessary analysis of invalid images.
Data Source
AI summary
One or more palm images are captured based on a preset capturing field of view. Respective palm key points in the one or more palm images are detected. Respective palm directions of palms in the one or more palm images are determined according to the respective palm key points. Respective calibration directions of the preset capturing field of view are determined for the one or more palm images. Respective capturing angles in the one or more palm images are determined according to the respective palm directions of the palms in the one or more palm images and the respective calibration directions. From the one or more palm images, a target palm image whose capturing angle is within a preset capturing angle range is selected for an identity verification. The preset capturing angle range is set to avoid the target palm image being from an incorrect participant of the identity verification.