Palm Image Affine Normalization for Biometric Authentication
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Solution Overview
Problem
In biometric authentication, especially palm vein authentication, position differences between input and enrollment biometric information can lead to authentication errors, particularly for users with larger hands, where parts of the hand may not be captured, increasing error rates and usability issues, especially with mobile devices.
Innovation Solution
An image processing device captures a palm image, detects base points of specific fingers, calculates standard points, and applies affine conversion to normalize the image, ensuring consistent coordinates for stable authentication, even if parts of the palm are not included in the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a guide for guiding hand posture is used to reduce position difference influence, then authentication accuracy is improved, but users with larger hands cannot have their entire hand captured, increasing authentication error rate
Solution Approach 1:
The patent changes the parameter of coordinate system transformation by detecting base points of fingers and applying affine conversion to transform palm images to standardized coordinates, accommodating users with larger hands while maintaining authentication accuracy
Solution Approach 2:
The patent introduces base point detection of fingers as an intermediary element to establish reference points for coordinate transformation, enabling accurate positioning without requiring the entire hand to be captured
2Measurement precision
If affine conversion is applied to normalize palm image coordinates, then position gap between input and enrollment biometric information is reduced, but image processing complexity increases
Solution Approach 1:
The patent performs preliminary detection of base points of fingers before authentication comparison, establishing reference coordinates in advance to simplify the affine conversion process and reduce real-time processing complexity
Data Source
AI summary
An image processing device includes: a biometric sensor; and a processor to execute a process comprising: detecting base points of a first and a second fingers; calculating a first standard point between one of the base points of the first finger and one of the base points of the second finger; calculating a second standard point on a bisector of an angle formed by a straight line passing through one of the base points of the first finger on an opposite side of the second finger and the first standard point and a straight line passing through one of the base points of the second finger on an opposite side of the first finger, and the first standard point; and applying an affine conversion to the palm image so that coordinates of the first and second standard points are converted into predetermined coordinates.


