Augmented Image Generation via Averaged Biometric Templates
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Solution Overview
Problem
Existing biometric authentication systems face issues with erroneous results due to noisy images and high bandwidth and computing load when multiple images are transmitted for processing.
Innovation Solution
A method that generates a biometric template by applying processing to multiple images, calculating an average template, and modifying a chosen image to minimize error, reducing noise and bandwidth consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple images are transmitted for biometric processing, then authentication reliability is improved, but bandwidth consumption increases
Solution Approach 1:
The system performs preliminary processing locally by generating biometric templates from multiple images, calculating an average template, and modifying a chosen image to minimize error before transmission. This preliminary action ensures authentication reliability is established beforehand, allowing only the final modified image to be transmitted, thereby reducing bandwidth consumption while maintaining reliable authentication.
2Reliability
If multiple images are processed individually, then authentication reliability is improved, but computing load increases
Solution Approach 1:
The system merges the processing of multiple images by generating biometric templates from each image and then calculating an average template that combines information from all images. This merging approach improves authentication reliability by utilizing data from multiple images while reducing computing load compared to processing each image completely independently, as the template averaging operation is computationally more efficient than full independent processing.
3Quantity of substance
If a single image is used for authentication, then bandwidth consumption is reduced, but measurement precision deteriorates
Solution Approach 1:
The system creates a modified image that copies and condenses the essential biometric information from multiple original images into a single optimized representation. This modified image serves as a high-fidelity copy that preserves the precision benefits of multiple images while consuming minimal bandwidth, as only one optimized image needs to be transmitted rather than multiple original images.
Data Source
AI summary
A method including: for each image forming part of a plurality of images showing an individual, applying processing to the image so as to produce a biometric template relating to the individual; calculating an average template constituting an average of the biometric templates produced; modifying a chosen image from the plurality of images into a modified image, the modification being adapted so that an error between the average template and a biometric template produced by applying the processing to the modified image is smaller than an error between the average template and the biometric template that has been produced by applying the processing to the chosen image.

