Biometric Authentication Adjusting Fingerprint ECG Weights for Humidity
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Solution Overview
Problem
Existing user authentication methods using biometric signals, such as fingerprints and electrocardiograms, face challenges in accurately authenticating users due to variations in humidity levels affecting signal quality, leading to inconsistent recognition rates and potential security vulnerabilities.
Innovation Solution
An authentication apparatus and method that acquires both fingerprint data and electrocardiogram (ECG) waveforms, along with skin humidity levels, to adjust similarities between user data and pre-registered data using humidity-dependent thresholds and weighted values, thereby extracting a combined similarity score for robust authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication uses fingerprint and ECG signals, then user identification capability is improved, but recognition accuracy deteriorates due to humidity variations affecting signal quality
Solution Approach 1:
The patent applies parameter changes by adjusting the weighting coefficients of fingerprint and ECG similarities based on skin humidity levels. When humidity is high, the system increases the weight of ECG similarity and decreases the weight of fingerprint similarity, and vice versa when humidity is low. This dynamic parameter adjustment compensates for humidity-induced signal quality variations and maintains accurate recognition.
Solution Approach 2:
The patent implements dynamics by making the authentication system adaptive to changing environmental conditions. The weighting coefficients are not fixed but dynamically adjusted according to real-time skin humidity measurements. This allows the system to optimize its performance continuously based on current signal quality conditions.
2Measurement precision
If humidity level affects biometric signal quality, then signal measurement accuracy deteriorates, but authentication reliability can be maintained through adaptive weighting
Solution Approach 1:
The patent applies feedback by measuring skin humidity levels and using this information to adjust the weighting coefficients in real-time. The system continuously monitors environmental conditions and feeds this information back into the authentication algorithm to maintain optimal performance despite signal quality variations.
Solution Approach 2:
The patent changes the weighting parameters based on humidity conditions. By modifying the weights assigned to fingerprint and ECG similarities according to measured humidity levels, the system compensates for signal quality degradation and maintains authentication reliability.
Data Source
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AI summary
An authentication apparatus includes a biometric data acquirer configured to acquire fingerprint data and an electrocardiogram (ECG) waveform of a user, and a humidity level acquirer configured to acquire a humidity level of skin of the user. The apparatus further includes a similarity extractor configured to adjust a first similarity between the fingerprint data and reference fingerprint data of a pre-registered user, and a second similarity between the ECG waveform and a reference ECG waveform of the pre-registered user, based on the humidity level, and extract a combined similarity based on the adjusted first similarity and the adjusted second similarity. The apparatus further includes an authenticator configured to authenticate whether the user is the pre-registered user based on the combined similarity.